A Network Traffic Flow Model for Motorway and Urban Highways

Size: px
Start display at page:

Download "A Network Traffic Flow Model for Motorway and Urban Highways"

Transcription

1 A Newor Tr Flow Moel or Moorwy n Urn Hghwys Cho Yng Rs Remenye-Preso John Anrews * Nonghm Trnsporon Engneerng Cenre Unversy o Nonghm NG7 RD Nonghm UK Asr The reserh repore n hs pper evelops newor level r low moel (NTFM) whh s pplle or oh moorwy n urn ros. I oress he r low res ueue propgon he unons n rvel elys hrough he newor. NTFM uses su-moels ssoe wh ll ro n unon ypes whh omprse he hghwy. The low ny one pr o he newor s ovously very epenen upon he lows ll oher prs o he newor. To pre he wo-wy r low n NTFM n erve smulon meho s exeue o genere he evoluon o epenen r lows n ueues. To emonsre he ply o he moel s pple o smll se suy newor n lol Loughorough-Nonghm hghwy newor. The resuls ne h NTFM s ple o enyng he relonshp eween r lows n purng r phenomen suh s ueue ynms. By nroung reue low re on lns o he newor hen he ees o sreges employe o rry ou rowors n e mme. Keywors: Pvemen mnenne; Tr low moels; Invul unon moels; Ierve smulon meho 1

2 Noons p sr ( ) low py on he ln eween noes n (pssenger r un (pu)/hour) ln pne.e. he mxmum numer o rs whh n ueue on he ln rom noe (pu) whh s one se on he ull lengh rom unon o unon soure low enerng he ln n me or exmple umulve r onng he mn ro rom n ese.e. housng eses or wor ples (pu/hour) s ( ) sn low levng he ln n me or exmple umulve r levng he mn ro or n ese.e. housng eses or wor ples (pu/hour) proporon o low on he ln hoosng he oulow reon l l s expresse eher n reon le rgh he or n he ID o he esne noe.e. +1 ( l ) low on he ln n me (pu/hour) verge numer o vehles ueung on he ln n me (pu) 1 Inrouon (pu) verge numer o vehles propgng o he upsrem lns o noe n me In reen yers hghwys genes hve urne her enon rom onsruon o new pvemens o he mnenne n rehlon o exsng ones. Aorng o he Annul Lol Auhory Ro Mnenne Survey ((AIA) 011) n Engln he governmen hs spen hevly on ro mnenne n reen yers. 40m ws spen n m n 007 n noher 861m n 008 n ggrege ol o 6867m rom 00 o 008 n orer o mnn he servely level o pvemens. The survey lso repors h urher s urrenly reure o rng he UK s ros o he reure snr. In on o he expenure on rryng ou he wor he rvel ely os o ro users use y mnenne s sgnn n expee o susnlly exee he orresponng os o mnenne. Conseuenly wh he purpose o exmnng n unersnng he rvel elys whh our when mnenne s perorme he NTFM newor r low moel hs een evelope. I pres he r lows n ueues ul up n ro newor. When rowor s perorme wll use resron n he low re py o prs o he newor. By omprng he low n ely hrerss resulng rom eren mnenne sreges he es wy o eepng he hghwys n goo se o repr n e eslshe. Typlly r low moels re egorse no wo mn groups: mrosop moels n mrosop moels. Mrosop r moels re use o eny he ggrege ehvour o ses o vehles re generlly esy o vle n ensure goo rel-me uly suh s he

3 lu-ynm r moels (Lghhll n Whhm 1955; Rhrs 1956). Mrosop moels re pple o moel he rvel ehvour o n nvul vehle whh s reognse s unon o he r onons n s envronmen (Cremer n Luwg 1986; Ngel n Shreenerg 199). As rvers ehvour n rel r s ul o oserve n mesure mrosop moels re ul o vle urely (Dgnzo 1994). In on he ompuonl eor reure y mrosop moels s sgnnly hgher hn h or mrosop moels n he reure y mrosop moels re more ul o reor. Due o he resons esre ove n he suly o mrosop moels or newor-level nlyss mrosop moel hs een evelope n hs pper. Mny mrosop r moels hve een onsrue o eny r ehvour on moorwys n urn ros. Lghhll n Whhm (1955) n Rhrs (1956) prove poneerng lowynm moel (LWR moel) o esre unreonl r low on hghwy newors. Bse on he r-ollowng moel (Rohery 1997) h onserng he rver s reon me Pyne (1971) evelope seon-orer moel (Wgner Homnn e l. 1996) n whh he ynm low phenomen re moelle. Dgnzo (1994) propose ell rnsmsson moel (CTM) h ope onvergen pproxmon o he LWR moel o evlue he r on hghwy newor wh sngle enrne n ex. Aerwrs more ell ypes re pple n CTM o roen s pplly (Dgnzo 1995; Lo 1999; Lo 001; Lo Chng e l. 001). METANET (Messmer n Ppgeorgou 1990) onsere he suon o moorwy newor se on he seonorer moel. Exensve reserh hs een perorme o mprove METANET nlung he opon o vrle spee lms (Breon Hegy e l. 00; Hegy Br De e l. 005) n he pplon o roue gune (Deloro 003; Krm Hegy e l. 004). Suseuenly Vn en Berg Hegy e l. (007) evelope n negre r onrol ply or mxe urn n moorwy newors. However prory unons.e. T-unon n rounou re no onsere n CTM n METANET so he onlng reuremens o he r lows rom ompeng reons nno e pure. In Vn en Berg Hegy e l. (007) he urn r moel ssgns su-ueues or 3

4 eh urnng reon on ro ln; hus shre lnes re no en no oun where r heng o eren reons mgh e mxe ogeher. To moel prory nerseons gp epne heory n ueung heory hve een wely presene n nvesge. Gp epne moels hve een pple o esme he rl gps n pes prory nerseons (Segloh 1973; Cown 1975; Pln n Chpole 1984; Troue n Brlon 1997; Brlon Koeng e l. 1999; Nng 001; Wu 006; Guo n Ln 011). Queung heory s generlly use o evlue suons whh nvolve verge elys verge ueue lenghs sruons o elys n ueue lenghs (Kremser 196; Tnner 196; Kremser 1964; Yeo n Weesul 1964; Dgnzo 1977; Poeshl 1983; Nng 001). One svnge or he gp epne moels s h hey hve le o pure onls mong he mor srems (Rusn n Wng 00). Also he en sgnlze nerseons n hve sgnn mp on py n perormne o prory nerseons whh le o he vron o hewys (Ronson Tn e l. 1999; Trz n Gone 000). Hene gp epne heory no longer pples. Sne ueung heory s lso onsrue se on hewy sruon moels suers he sme rws o he gp epne heory. As gp epne heory n ueung heory mnly ous on nvesgng he r on sngle nerseon n re no ure or moellng reonl low (Tn Troue e l. 000) hey re no ple o enyng he r hrerss newor level. Conserng he r neron oh sgnlze n prory unons hs pper esres mrosop r low moel he purpose o whh s o prove meho or preng he r low n rvel ely or eh unon n he newor. One novel eure o he moel s h oh moorwy n urn newors re evlue se on he sme prnple o onserng mxmum py low re he unons where lows ompee lnng ou he r low n he newor n moellng r overlow hrough o he rele unons. Anoher novel eure s h wo-wy r low long newor lns s nvesge when n erve smulon meho s ulse o genere he evoluon o epenen r lows n ueues. Moels or lrge vrey 4

5 o unons suh s prory unons moorwy rounous e. re nroue n shre lnes or r heng o eren reons re moelle n orer o moel rel suons on hghwy newors. Ro Newor Moel The ro newor sue n NTFM s ompose o noes n lns. Lns represen ros.e. moorwy lns n urn ro lns n noes emonsre unons nlung sgnlze nerseons n T-unons e. Also prs o he sme ro wh eren hrerss suh s low py re sepre y noe (e.g. when ul rrgewy reues o sngle r srem). Pror o he evluon o he ro newor he relonshps eween r lows n ueue ul up unons nee o e spee. Moels or unons hve lns whh enle he ex r rom one unon o ener he seon unon hs wll wor n wo reons s or hese wo unons wo-wy r low s eploye. In hs wy ll he unons n he newor re lne o eh oher. From he newor low heory newor n hve numer o soure noes n sn noes where soure noe enes he low no he newor n sn noe enes he low ou o he newor. Soure n sn noes n e use o moel he eges o he newor or nlue he res o he newor n he moel o su-newor. In on he lns hemselves n hve soure n sn noes whh re use o moel umulve r enerng/levng he ln. Ths n represen sgnn r lows o/rom he newor rom suh elemens s housng eses rpors rlwy sons or ples o employmen. In hs wy s possle o vo he nluson o ll mnor ros on he newor. NTFM s se on he prnple o he ueue moel. Frs o ll lows rom he newor soure noes re psse hrough he newor o ll he sn noes lulng he low on eh ln. Then he low on eh ln s ompre wh he low py o he ln pplyng he generl euons or he ueue on he ln n he moels or he eren ypes o unon n he ueue s lule. I he ueue exees he ln pne ees o he ueue re propge 5

6 hrough he newor. Fnlly n he ollowng me seps eren lows rom he newor soure noes re propge hrough he newor o represen suon suh s he rush hour n her ees re e o he ueues presen on he newor rom he prevous me seps. I he low hrough he newor mproves or exmple r low res rom he soure noes erese or r lghs re use o llow eer low hrough he ongese lns he ueues n erese n evenully he lns n eome ler o ueues. In hs mnner he r hrers or gven hghwy newor hroughou y n e ene y NTFM. Dele rules or lulng lows n ueues on he ln re esre n Seon.1..1 Mn prnple o NTFM Flow on he ln - n me s lule s sum o ll he lows o noe he low enerng he ln n he negve low levng he ln: sr s s s lls (1) One he low on eh ln n me s lule (or he rumsnes h here re no resrons) he low vlue n he ueue vlue on he ln - mgh nee o e upe orng o he low py on hs ln n he ln pne p. The upe low s expresse s n he upe ueue s expresse s. Two ses re onsere: (1) Flow on he ln s hgher hn he low py n me : hen I () ( ) p p n hen p ( ) () Flow on he ln s lower hn he low py n here s ueue on he ln n me : I n 0 hen n (3) (3 ) 6

7 0 hen n 0 (3 ) One he ueue s lrger hn he ln pne s esre n he Euons he ueue he en o he ln s psse o he onneng newor.e. o he lns h onrue o he ul-up o he ueue. Ths s one usng he ueue propgon lgorhm. The generl e s h proporon o he ueue s psse o eh ln h onrue o he ul-up o he ueue. The proporon o he ueue or eh ln s lule s he proporon o he low rom h ln onrung o he overll low. For exmple ueue uls up on he ln rom o +1 n exees he py o he ln y he numer o vehles s proporonlly srue o ll he lns h ener noe. Ths proess s gong o nrese he sze o he ueue n erese he low on eh ln h eners noe : 1 1 (4) (5) I er hs proess he sze o he nrese ueue exees he py o he ln p he ees o he ueue re psse urher hrough he newor unl ueue n e ommoe n oes no exee he py o he ln. For exmple p hen p n p (6) s psse o he upsrem lns h ener noe e. I he ueue s presen n me.e. 0 s lso presen he egnnng o he moellng sep 1.e. 1 whh hen epens on he low n me +1 1 n he relevn euons re pple o upe he low n he ueue on he ln s neessry. More omplexy s nroue n he unon moels when sepre lnes re moelle on he lns n he low py n he pne on eh lne re onsere. 7

8 . Su-Moels In on o he s ln moel he su-moels or eh unon ype re onsrue o express he r neron unons. The nvolve unon ypes re lse n Tle 1. Tle 1: Junon ypes n NTFM Junon groups Junon ypes Sgnlze Junons Sgnlze T-unon Sgnlze Inerseon Sgnlze Rounou Prory Junons T-unon Urn Rounou Moorwy Rounou One-wy Junons On-rmp n O-rmp Merge n Dverge Rowor noe The r low sgnlze unon s nluene y oh he low py o he enry rm n he green spl me o he r sgnls (proporon o mes he sgnls gves prory o low n s reon) where he onlons mong ompeng r lows re elmne owng o he pplon o r lghs. For he group o one-wy unons where (exep or he on-rmp o moorwys) he enerng r or he one-wy unon s only hrerze y he orresponng low py. The on-rmp s lso evlue s prory unon. For prory unons he r low s se on rgh-o-wy rules where he enerng r low or eh rm o he unon s resre y he low py n lso y he r lows rom ompeng rms. The unerlyng mehoologes or he T-unon urn rounou n moorwy rounou re esre n el o explly emonsre hese oneps...1 T-unon moel Fgure 1: T-unon Ths unon shown n Fgure 1 s onrolle ssumng h rvers oey he rgh-o-wy rules. On he T-unon vehle rvellng on he mor ros hs rgh-o-wy n vehle pprohng he mor ro mus llow o pss eore onng he low o r. Some ros o he nerseon 8

9 hve sngle lne some hve wo lnes. Two lnes re use on he le pr o mor ro where lne 1 s use or gong srgh on n lne s use or urnng rgh n rossng he onomng r on he mor ro. Also wo lnes re use on he mnor ro lne 1 s use or urnng le n lne s use or urnng rgh. The res o he ros hve sngle lne. The unon spe pple n hs moel s: 1 l ( 1 l ) low noe h omng rom reon -1 n gong n lne l.e. 1 represens he le lne n me (pu/hour) noe low py or he r omng rom reon -1 n gong n lne l epenng on gps eween vehles n vehle spee (pu/hour) ln pne n lne l.e. he mxmum numer o rs whh n ueue n lne l o he ln (pu) 1 l ( ) verge numer o vehles ueung on lne l o rm -1 or noe he egnnng o (pu) p 1 l The T-unon s onrolle y rgh-o-wy rules n prory s se or ern reons. Thereore n orer o lule he ueue or eh reon on he unon.e. he mor ros -1 n +1 n he mnor ro -1 hs o e onsere seprely The mor ro -1 For he low rom reon -1 o reon +1.e. n lne 1 no onlng r resron on he low exss. Thereore ueue n only ul up ue o he low py on he ln er he unon ollowng he generl rule esre n Seon.1. For he low rom reon -1 o reon -1.e. n lne he onlng low s he low rom reon +1 o. A ueue uls up he low n lne or he onlng low s hgher hn he low py n lne hrough he nerseon. The upe low s expresse s ( 1 l ) n he upe ueue s expresse s 1 l ( ). Fve ses re onsere: (1) Flow on he ln n lne s hgher hn he low py n lne hrough he nerseon he onlng low rom reon +1 s lower hn he low py n lne hrough he nerseon n here s no ueue n he lne n me : I 1 1 n 1 1 n 1 0 hen (7) 9

10 1 1 n (7 ) p 1 1 hen p 1 1 n (7 ) 1 1 p 1 1 () The onlng low rom reon +1 s hgher hn he low py n lne hrough he nerseon n here s no ueue n he lne n me : I 1 1 n 1 0 hen 0 1 n (8) 1 1 (8 ) p 1 1 hen p 1 1 n (8 ) 1 p 1 1 (3) Flow on he ln n lne s hgher hn he low py n lne hrough he nerseon he onlng low rom reon +1 s lower hn he low py n lne hrough he nerseon n here s ueue n he lne n me : I 1 1 n 1 1 n 1 0 hen (9) 1 1 n (9 ) p 1 1 hen p 1 1 n (9 ) 1 1 p (4) The onlng low rom reon +1 s hgher hn he low py n lne hrough he nerseon n here s ueue n he lne n me : n I hen 0 n (10) (10 ) p 1 1 hen 1 1 p n (10 ) 10

11 1 1 p 1 1 (5) Flow on he ln n lne s lower hn he low py n lne hrough he nerseon he onlng low rom reon +1 s lower hn he low py n lne hrough he nerseon n here s ueue n he lne n me : I 1 1 n 1 1 n 0 1 l hen (11) 1 1 n (11 ) 0 1 hen n 0 1 (11 )..1. The mor ro +1 For he low rom reon +1 o reon -1 or reon -1 no onlng r reuremen s presen. Thereore ueue n only ul up ue o he low py on he ln er he unon ollowng generl rule esre n Seon The mnor ro -1 For he low rom reon -1 o reon -1.e. n lne 1 he onlng low s he low rom reon +1 o -1. Whle or he low rom reon -1 o reon +1.e. n lne he onlng low s he sum o he low rom reon +1 o -1 n he low rom reon -1 o +1. Boh lows on mnor ro -1 re evlue s he low n lne rom reon

12 .. Rounou moel Fgure : Rounou A rounou s moele n ee s seres o prory unons wh prory o r on he rounou. As sgnlze rounou s opere y sgnl onrol whou onseron o onlng lows urn rounou n moorwy rounou re nvesge n hs seon. Assume rounou wh our enry rms n or rounou llusre n Fgure use o represen o upsrem lns respevely. The orer n whh he r low s lule he rounou progresses lowse roun he rounou srng rm : ---. The low rom rm wll e epenen on he low rom rms n hs s euse only prs o lows rom rms n hve o pss hrough he enrne o rm.e. lne 1 n lne o leve he rounou whle he low rom rm exs he o he enrne.e. lne 3 n lne 4 o rm. The sme or oher rms he nlow epens on preeng rulng nlows. Eh ro o he rounou s onsere o hve wo lnes; lne 1 s use or urnng le n gong srgh n lne or urnng rgh. I ssumes h he vehles nenng o me u-urn n reurn n oppose reon long he ro n whh hey pproh he rounou re suenly smll h hey n e gnore. Anoher ssumpon s h he r on lne 1 o eh 1

13 enry rm only es he ouer lne rulng he rounou whle he nner lne s oupe y he r on lne....1 Urn Rounou moel The urn rounou moel ssumes h vehles re no llowe o ueue on he rounou. Beuse rounou s usully symmerlly onsrue only he low on rm s nlyse. For he low rom rm o rm n.e. n lne 1 he onlng low nlues he merge low rom rm h s gong srgh on n he low rom rm h s urnng rgh: n ( l n m n l n m ) ( ) mn( 1 ) mn( ) 1 onlng low or he low on enry rm n.e. n n lne l.e. 1 n (pu/hour) low rom rm n o rm m (pu/hour) low py or lne l o rm n (pu/hour) (pu/hour) proporon o he r h gong o rm m rom rm n (1) The mn ormul s use o resr he nlow rom eh rm. The rs mn ormul n Euon 1 es he mnmum o: he rs prmeer whh represens he r low nenng o move rom rm o rm n he seon prmeer whh orrespons o he low py or hs r low n lne 1 o rm. The seon mn ormul emonsres he r low rom rm o rm h shoul e less hn or eul o he orresponng low py. For he low rom rm o rm he onlng low s he sum o he lows rom rm o rm n n he low rom rm o rm esre s: ( ) mn( 1 ) mn( ) mn( ) (13) The rs erm n he hr erm n Euon 13 re enl o Euon 1 s he onlng low or lne 1 o rm lso resrs he low on lne o rm. The low on lne o rm s urher lme y he r rom rm o rm h esre s he seon erm. The evluon o he wo r low on rm ollows he sme rule n Seon

14 ... Moorwy Rounou moel The exenson or hs rounou s h vehles re llowe o ueue on he rounou. In on o he resron o nlows oulows re lso resre orng o he low py o he ou-gong lnes or eh rm. The resuls rom urn rounou re employe s npus or he lulon o oulows o he moorwy rounou. I ssumes h rs n he ueue on he rounou wll leve gps or enerng n exng he rounou. Anoher ssumpon s h he ou-gong low on he ouer lne wll only e he le lne s ex whle he r low on he nner lne n e eher s ex s llusre n Fgure. As he rounou nvesge s ssume o e ul symmerlly he ree spes or eh pr o he rounou re he sme. The onl unon s employe n moorwy rounou: p o p n l o o op p pne or ouer lne o rounou (pu) pne or nner lne o rounou (pu) oulow or lne l o rm l nlues 3 n 4 (pu/hour) oulow o rounou rom rm o rm (pu/hour) lengh o he ueue orme n seon o he ouer lne o rounou (pu) s llusre n Fgure 3 lengh o he ueue orme n seon o he nner lne o rounou (pu) s llusre n Fgure 3 ueue propgon o ueue or seon o ouer lne o oher lns (pu) ueue propgon o ueue or seon o nner lne o oher lns (pu) Fgure 3: The ormon o ueue he rounou The r lows rom eh rm wll oupy her ene ph hrough he rounou; he mxe r low eh omponen o he rounou s represene n Tle. 14

15 15 Tle : Composon o r lows Componens o rounou Ouer lne Inner lne The urn rounou moel s nlly eploye s he rs pr o he moorwy rounou moel. The resuls o urn rounou moel re hen employe s npus or he nex lulon n he moorwy rounou moel. Lne 3 n lne 4 or rm (s n Fgure ) re nlyse seprely. The evluon o he exng r n lne 3 or rm s esre s ollows: (1) A ueue uls up low on he ln n lne 3 s hgher hn he low py o lne 3 o rm. I For seon o ouer lne he rounou he sure r or exng r rm.e. n n me s lule s ) ( 3 urher le o he loge o low erve s 3 ) ( se on he low proporons on seon o ouer lne. Ths s euse hese hree reonl r lows re mxe ogeher on seon o ouer lne. As resul he ueue orme on seon o ouer lne s upe s: o o 3 ) ( (14) In on he vron o ueue n s represene s: o o p o o ) 4 mn( (15) Euon 15 s use o resr he ueue nremen n seon. The rs erm represens he upe ueue lengh n when s greer hn he pne s resre s 4 p o. Due o he r surne he r lows h pssng hrough seon o ouer lne re erese y:

16 16 o o o (16) I ueue s less hn he ueue pne 4 o p o he ueue s resre n. I 4 o p o pr o he ueue propges o upsrem lns esre s: 4 o p o op n 4 o p o (17) As hs ueue propgon s onrue y r lows rom rms n splls o lne 1 o rm n seon o ouer lne. The rs pr h nue y n s e o he ueue n lne 1 o rm esre s: op 1 1 (18) n he nlow rom lne 1 rm s erese s: op 1 1 (19) I 1 1 p ueue propges o he soure lns o rm p p n 1 1 p (0) The res pr splls o seon o ouer lne n he ueue n seon s upe s: op o o (1) The sure r o urher resule n he loge o n s hey re mxe n seon o ouer lne. Conseuenly he r h oul ex he rounou rm rom rm s ompue s:

17 17 o 1 () () Flow on he ln n lne 3 s less hn he low py o lne 3 hrough he rounou I 3 (-) I 0 3 no ueue. 3 (3) (-) I o p ueue loe n pr. 3 3 (4) 3 0 o o o o (5) o o 3 ) ( (6) Euon 6 s evlue s Euon 14 whh s se on he low ros on seon o ouer lne. Inremen o lows ue o lerne o ueue s evlue s: ) mx( o o o o (7) Ths mx ormul s use o resr he lerne o ueue; he mxmum vlue o ueue reuon woul e he prevous ueue lengh. As resul o ueue lerne he r lows h pssng hrough pr o ouer lne re nrese y: o o o (8) I 0 o ueue sll exss n. I 0 o

18 3 3 o n o 0 (9) Conseuenly he r lows h pssng hrough re upe s: o o o (30) (-) I p o 3 ueue loe n pr n some oher prs. Queue lers rom s en o 4. The mehoology use ove wll e pple. As or he lne 4 o rm he exng r low s ompue s: mx( 30) (31) Euon 31 eermnes he oulow py or lne 4 rm. As low n ex he rounou y eher lne 3 or 4 he oulow py or s lule s he sum o py o lne 4 n resul low py o lne 3. The mehoology use o evlue he r onon n lne 3 or rm s lso pple o he oulow hrough he lne 4 or rm. 3 Newor Soluon Roune In perormng he newor level nlyss he nlows eh unon resul rom he oulows o s upsrem unons n enres o he newor; wheres s oulows re unons o he nlows or he unon. Thus he whole sysem o r lows s neronnee n epenen. I s o vl mporne o eermne he seuene o noe evluons or r low. These wll sr rom he orgnl noe progress roun he newor n en he sme noe. The smulon o hese noes s proesse ervely unl onvergene hs een rehe when ll ou proles re eevely unhnge y urher erons. As or he rs eron he unnown npus or eh unon n he moel re suppose o e zero whh wll e upe y he ouomes o s upsrem lns n he sme eron n pple o he nex eron. Exep or he r lows rom soure noes r lows or eh smulon eron re upe s he npus or he nex eron. I s worh nong h he egnnng o eh eron ueues orme n he newor re 18

19 rese o he onon he en o prevous me pero so s o onserve he moun o r n he newor. For nsne ueues re nlze o zero or he smulon erons he rs me sep sne here ws no r n he newor prevously. The evluon o r onons or hghwy newor lls no wo mn seps. The rs sep s o lule he enerng lows exng lows n ueues or eh unon ervely unl hose prmeers reh sle se. The nex sep s o eny he ee o vehles h propgng o her upsrem lns whh mes he r onon even more severe. Conseuenly he r onon or he hghwy newor he urren me sep s one n hen hs n urn s ulse s he nl r onon nex me sep. By hs mens he r onon se or hghwy newor over me pero s evlue. The NTFM sowre s progrmme n Vsul C++ n whh lss s onsrue or eh unon sue n he NTFM n s use o esre he ype n he low py o he unon n o sore s nlows oulows n ueues. The sowre s use o moel he r on he newor hroughou y. 4 D Soures NTFM reures omprehensve ls o npus whh spey he geogrphl hrerss o he ro newor long wh he r lows hrough eren prs o he y. Inlue n he geogrphl newor eures re: he lengh or eh ln n he low py or eh rm o he unons. In on he r enerng eh ln o he newor ll pons o he y re reure long wh he proporon o vehles levng eh unon on eh o he ex rms n he sgnl onrol npus eh me nervl. In he NTFM r lows n urnng movemens re onsn over eh me nervl. The vlle r npus on he hghwy newor use n hs suy were he numer o rs per hour whh h een ollee vrous loons on run ros n vrous unons over he ls ouple o yers. Suh r were one rom he Hghwys Ageny n 19

20 Nonghm Couny Counl or he mory o he ros n were rely pple n he NTFM o moel wo-wy r low urng y. However he r some pons urng y were unvlle hey were erve usng he lner exrpolon eween wo pons. For he ro seons on he lol newor where he were no reore n he se olleon ws rre ou y he uhors o on some r normon urng ypl y o e use n he NTFM. 5 Moel Applon 5.1 Cse Suy 1 Fgure 4: The se suy newor For ese o exposon smple newor n Fgure 4 s prove o llusre he properes o NTFM. Ths ro newor s ompose o 4 sgnlze nerseon n 1 ul -lne lns. The low py or eh nerseon s ene s 1500 pu/hour; he pne or eh nner ln s 1000 pu; he urnng ros or eh rm o eh unon re ene s n 0.3 (urnng le gong srgh urnng rgh); he green me spl or r h urnng le n gong srgh s se o 0.5 n 0.3 or rgh urnng r. As EA FA GB HB IC JC KD n LD re exernl lns her pes re ssgne s nny o vo ueue propgon. In orer o llusre he ormon o ueue n he newor relvely hgh r lows re employe. The nlows or 1 o 8 re pu/hour respevely. The moellng 0

21 horzon n hs se suy s se o me seps one me sep s ene s one hour. Aonlly AB s use o enoe he low rom noe A o noe B n AB represens he ueue h orme noe B n exene o noe A whh s reognse s prou o AB Newor Smulon The seuene or he evluon o he noes n hs newor s ene s A-B-C-D-A. For eh eron he r lows n he newor re evolve wh respe o he ollowng rule unl onvergene s one: Junon A 1 DA n BA re use o lule he oulows AB AD AE n AF Junon B 3 4 AB n CB re use o lule he oulows BC BA BG n BH Junon C 5 6 BC n DC re use o lule he oulows CD CB CJ n CI Junon D 7 8 CD n AD re use o lule he oulows DA DC DK n DL I shoul e noe h DA BA CB n DC re nlse s 0 on he rs eron. Aer he vlues o hese vrles remn sey ueue propgon hrough he newor s evlue. As resul o hs he r onon urren me sep s one. Queues orme hs me sep re reore s he nl r onon nex me sep. In hs pproh he r onon or hs newor over he plnnng spn s evlue. I es roun 1 seon or NTFM o moel he r hrerss on hs newor urng wo me seps Evluon o Tr Conon A rs he moel s e wh he nl r ses.e. nlows urnng ros or unons n sgnl onrol npus. The nl r onon or he newor s epe n Tle 3: Tle 3: Inl r onon n me 1 Junons Inl r onon n me 1 A B C AB BA AE AD BC BH AF BG CD CJ CI CB

22 D DL DK DC DA As or eh eron or me 1 he nl r onon ses or eh unon shoul e rese orng o Tle 3 so s o eep he lne eween r npus n oupus. In orer o on sle r onon se he evluon o he newor s run ervely unl onvergene s rehe he evoluon o r or eh unon re represene n Tle 4: Tle 4: Evoluon o he r onon or he se suy newor n me 1 Junon Tr onon ses n me 1 Enerng low (pu/hour) Exng low (pu/hour) Queue lengh (pu) A Ieron 1 DA BA AE B Ieron AB CB 4 3 BA C Ieron DC 6 5 AD BC AB BH AF BG AE BA AD BC AB BH AF BG BC CD CJ CI CB CD CJ CI CB D Ieron 8 7 CD AD DL Exmnng Tle 4 he r onon or hs newor rehe sey se er 5 erons s s ue smll newor h only reures lle ompuonl eor. Also we oun h ueues orme ll he our unons hs s euse enerng r low exees he orresponng low DK DC DA DL DK DC DA py. For nsne n erms o he urnng ros or rm BA o unon BA s ve no wo su-lows or eh lne.e. 777 pu/hour urnng le n gong srgh n lne 1 n 333 pu/hour urnng rgh n lne. Conserng he green spls he enerng low pes or hese wo lnes re 750 pu/hour n 450 pu/hour respevely. As he enerng r n lne 1 s

23 hgher hn s enerng low py he poron o he vehles h exees he low py.e. 7 pu s sure n lne 1. For oher unons euse hey experene more r hn unon A more serous r ongesons suere. As or he nex me sep he enerng lows or he newor remns he only erene s h here re ew ueues presene. The nl r onon or he newor n me sep s esre n Tle 5 whh s reeve rom he r onon he en o me 1. Tle 5: Inl r onon n me Junons Inl r onon n me A B C D AE AD AB AF BA BC BH BG CD CJ CI CB DL DK DC DA The nl r onon on eh eron n me shoul e rese orng o Tle 5. The sme proess s onue s me 1 n he r onon or he newor he en o me s shown n Tle 6: Tle 6: Tr onon or he se suy newor n me Junon Tr onon ses n me Enerng low (pu/hour) Exng low (pu/hour) Queue lengh (pu) A Ieron 1 DA BA AE B Ieron AB CB 4 3 BA C Ieron DC 6 5 BC CD D Ieron 8 7 AD DL DC DA DL DC CD AD BC CJ DK AB BH CI AF BG CB AE BA CD AD BC CJ DK AB BH CI AF BG CB DA In omprson o r onon n me 1 he enerng r lows n exng r lows re he sme whle he lengh o ll ueues n he newor re oule. Ths s euse he r npus or he newor remne whh resule n he we lns suerng more severe ongeson. 3

24 5. Cse Suy To llusre he perormne o he NTFM on rel hghwy newor se suy se on he Loughorough-Nonghm hghwy newor hs een presene whh nlues oh urn ro lns n moorwy lns. The opology o hs hghwy newor s llusre n Fgure 5. There re hree mn roues rom Loughorough o Nonghm whh re A60-A5 (A-B-C-D) A6-A453-A5 (A-J-G-K-C-D) n A51-M1-A5 (A-H-G-F-D). Fgure 5: Loughorough-Nonghm hghwy newor Only run ros n ros eween mor unons re rene n he newor s shown n Fgure 6. Some symols e.g. M1 n A5 enoe he ro lss n ro numer o he ro lns where M represens moorwy n A - run ro. Oher symols represen he ype n ID o unon or nsne verge unon n Loughorough s nme D. There re 47 unons moelle n he newor nlung 8 rounous (R) 3 sgnlse rounous (SR) 5 verge unons (D) 3 merge unons (MG) 1 o-rmps n 1 on-rmps (oh enoe y S) sgnlse T-unons (ST) n sgnlse nerseons (SI). (Inser he numer o lns!)the seuene o he evluon o hese unons s eermne s: SR1-SR-SR3-R6-R7-R8-R-R5- MG1-D5-MG3-D6-MG-R4-R1-SI-R3-SI1-ST-D-ST1. The on-rmps n o-rmps re 4

25 evlue he sme me s he unons h hey re onnee o. The r or hs newor re one rom he Hghwys Ageny n Nonghm Couny Counl (HA 011) n pple o he r low moel n he orm o wo-wy hourly r low. Where suh were unvlle he numer o rs per hour were esme s susse n Seon 4. The ous o hs suy s o pre he oulow n ueue lengh or eh unon/ln n hs rel hghwy newor n o eny he we lns/unons h experene severe r ongeson. There re 16 one hour me seps use o moel he hghwy newor whh represens he moellng uron rom 7:00 m o 11:00 pm per y. The ompuonl me or NTFM o smule hs newor urng he ene plnnng pero s 10 seons. On he ss o he resuls one ws onlue h rounous R1 R6 n R7 suere he wors r ongeson urng he mornng n evenng pe peros s hey re onnee o he ples wh lrge r lows.e. he moorwy he y enre n some resenl res; whle oher unons n ommoe her npu lows whou usng ny ueues. 5

26 Fgure 6: Loughorough-Nonghm moelle hghwy newor The numerl soluon o hs hghwy newor hrough ypl y s emonsre n Fgure 7. On he le hn se o Fgure7 he ol low no he newor n ou o he newor hs een presene wh he expee nrese pe mes. On he rgh hn se he sum o ll he ueues orme n he newor hroughou he y s presene. I n e seen h he hghwy newor experene hevy r ongeson urng he pe mes.e. eween 8:00 n 11:00 n eween 17:00 n 0:00. When he low py on he lns wh ueues s hgher hn he enerng r low he ueues reue n evenully he newor eomes ler o ueues s llusre eween 11:00 n 16:00. 6

27 Fgure 7: Tr onon o he exmple newor uner norml onon 5.3 Dsusson Bse on he resuls ove he nlow n oulow or eh unon n he ueue sore on eh ln n he smple exmple newor re one. In he lgh o hese prmeers he ol exng r low n ggrege ueue lengh n he newor n e erve y summng up he oulows o ll he exs o he newor n y summng up he lengh o ueues orme n he newor respevely. The ol exng r low n ggrege ueue lengh re use o mesure he rnsporly o he newor he hgher he exng r low he eer he newor rnsporly whle ggrege ueue lengh s n nre proporon o he newor rnsporly. In on he ly perormne o lol rel newor n he Loughorough- Nonghm re whh s ompose o oh urn n moorwy ro seons s presene. Usng hs moel n on o he norml ro onons mnenne ons n e mplemene n he newor. NTFM n e eploye o lule he resulng low res n he newor when mnenne s perorme n o ompre hem wh he low res whou mnenne. When ro mnenne s rre ou onl ely ueue lengh n e evlue n orer o on he os o ro users. Aerwrs y omprng he ees o vrous mnenne ons on he ro newor n ro users he es opon h resule n he les mnenne n ro user oss n e oun. 7

28 5 Conlusons In hs suy we hve propose mrosop newor level r low moel n s ssoe unon moels whh re n onssen wh he ueue moel n rgh o wy rules. The moel lules he lows hrough he newor unons n he ueues whh ul up n sperse eren pons urng he y. The moellng ply evelope proves vnes on he prevously evelope lernves n he ollowng eures:. I ouns or oh moorwy n urn ros n he sme ro newor releng he nerve nure o he wo sysems.. I opes wh wo-wy r low y employng erve smulon meho o eermne he vlue o he epenen r lows n he newor.. The moels eure enles enry n ex pons or r low long eh urn newor seon ln (ro). Ths smules r exng/onng he newor housng eses or wor ple loons. v. I eploys shr lne.e. lne h s oupe y r h s urnng le n gong srgh o llusre he r neron mong mxe reonl r lows. The resuls showe h hs moel hs he ply o esre he evoluon o epenen r lows n ores he r movemen n ueue ynms hrough rel mxe hghwy newor h onsss o oh urn n moorwy lns. Also s expee h er he nl suy o he proessng me he NTFM s sule o moel rel hghwy newors n he ees o mnenne wors newor level. ACKNOWLEDGMENT John Anrews s he Royl Aemy o Engneerng n Newor Rl Proessor o Inrsruure Asse Mngemen. He s lso Dreor o The Lloy s Regser Founon* Cenre or Rs n Relly Engneerng he Unversy o Nonghm. Rs Remenye-Preso s he Lloy s Regser Founon Leurer n Rs n Relly Engneerng. They woul oh le o express her grue o ll o hese orgnsons or her suppor. * The Lloys Regser Founon (The LRF) suppors he vnemen o engneerng-rele euon n uns reserh n evelopmen h enhnes sey o le se on ln n n he r. 8

29 REFERENCES (AIA) A. I. A. (011). Annul Lol Auhory Ro Mnenne Survey Breon P. A. Hegy e l. (00). "Sho wve elmnon/reuon y opml oornon o vrle spee lms." Inellgen Trnsporon Sysems 00. Proeengs. The IEEE 5h Inernonl Conerene. Brlon W. R. Koeng e l. (1999). "Useul esmon proeures or rl gps." Trnsporon Reserh Pr A: Poly n Pre 33(3 4): Cown R. J. (1975). "Useul hewy moels." Trnsporon Reserh 9(6): Cremer M. n J. Luwg (1986). "A s smulon moel or r low on he ss o oolen operons." Mhems n Compuers n Smulon 8(4): Dgnzo C. F. (1977). "Tr Dely Unsgnlze Inerseons: Clron o Some Issues." TRANSPORTATION SCIENCE 11(): 180. Dgnzo C. F. (1994). "The Cell Trnsmsson Moel - Dynm Represenon o Hghwy Tr Conssen wh he Hyroynm Theory." Trnsporon Reserh Pr B- Mehoologl 8(4): Dgnzo C. F. (1995). "The Cell Trnsmsson Moel.. Newor Tr." Trnsporon Reserh Pr B-Mehoologl 9(): Deloro F. P. (003). "Evluon o reve ynm roue gune sregy." Trnsporon Reserh Pr C: Emergng Tehnologes 11(5): Guo R. J. n B. L. Ln (011). "Gp Aepne Prory-Conrolle Inerseons." Journl o Trnsporon Engneerng-Ase 137(4): HA (011). Tr Inormon Dse Hghwys Ageny. Hegy A. S. Br De e l. (005). "Opml oornon o vrle spee lms o suppress sho wves." Inellgen Trnsporon Sysems IEEE Trnsons on 6(1): Krm A. A. Hegy e l. (004). "Inegron o ynm roue gune n reewy rmp meerng usng moel preve onrol." Amern Conrol Conerene 004. Proeengs o he 004. Kremser H. (196). "En Zusmmengesezes Wrezeprolem Be Possonshen Verehrssrömen (A Complex Prolem o Dely wh Posson-Dsrue Tr Flows)." Oserrehshes Ingeneur-Arhv 16. Kremser H. (1964). "Wrezeen Un Wreshlngen Be Enelung Enes Possonprozesses n Enen Aneren Solhen Prozess (Delys n Queues wh One Posson Proess Mergng no Anoher One)." Öserrehshes Ingeneur-Arhv 18. Lghhll M. J. n G. B. Whhm (1955). "On Knem Wves. II. A Theory o Tr Flow on Long Crowe Ros." Proeengs o he Royl Soey o Lonon. Seres A. Mheml n Physl Senes 9(1178): Lo H. K. (1999). "A novel r sgnl onrol ormulon." Trnsporon Reserh Pr A: Poly n Pre 33(6):

30 Lo H. K. (001). "A Cell-Bse Tr Conrol Formulon: Sreges n Benes o Dynm Tmng Plns." Trnsporon sene 35(): Lo H. K. E. Chng e l. (001). "Dynm newor r onrol." Trnsporon Reserh Pr A: Poly n Pre 35(8): Messmer A. n M. Ppgeorgou (1990). "METANET: A mrosop smulon progrm or moorwy newors." Tr Engneerng n Conrol 31(9): Ngel K. n M. Shreenerg (199). "A ellulr uomon moel or reewy r." Journl e Physue I (1): 1-9. Nng W. (001). "A unversl proeure or py eermnon unsgnlze (proryonrolle) nerseons." Trnsporon Reserh Pr B: Mehoologl 35(6): Pyne H. J. (1971). "Moels o reewy r n onrol." Smulon Counl Proeeng 1: h6: Pln A. W. n E. A. Chpole (1984). "A generl py ormul or unonrolle nerseon." Tr Eng. Conrol 5: Poeshl F. J. (1983). "De Nh Sgnlgeseuere Neensrssenzuhr Als Verllgemeneres M/G/ 1- Wreshlngensysem (The Unsgnlze Mnor Sree Enry s Generlze M/G/1 Queueng Sysem)." Zeshr ür Operons Reserh 7B. Rhrs P. I. (1956). "Sho Wves on he Hghwy." Operons Reserh 4(1): Ronson B. W. Z. Tn e l. (1999). "Exensons o heorel py moels o oun or spel onons." Trnsporon Reserh Pr A: Poly n Pre 33(3 4): Rohery R. W. (1997). "Cr-ollowng moels." In Tr low heory: A se o he r repor - revse monogrph on r low heory N. H. Grner C. Messer n A. K. Rh Es. O Rge Tennessee O Rge Nonl Lorory. Rusn H. J. n R. Wng (00). Moelng Tr Flow n Urn Unsgnlze Inerseon. Proeengs o he Inernonl Conerene on Compuonl Sene-Pr I Sprnger-Verlg: Segloh W. (1973). "De Lesungsermlung n Knoenpunen ohne Lhsgnlseuerung g (Cpy eermnon nerseons whou r sgnls)." Shrenrehe Srenu un srenverehrsehn 154. Tnner J. C. (196). "A Theorel Anlyss o Delys n Unonrolle Inerseon." Bomer 49(1/): Tn Z. Z. R. Troue e l. (000). "A urher nvesgon on rl gp n ollow-up me " TRnsporon Reserh Crulr E-C108: 4h Inernonl Symposum on Hghwy Cpy Trz M. n S. Gone (000). "Use o smulon o nlyss o mpene mp unsgnlze nerseons." Trnsporon Reserh Crulr(E-C018): Troue R. J. n W. Brlon (1997). "Unsgnlze nerseon heory." 30

31 Vn en Berg M. A. Hegy e l. (007). "Inegre r onrol or mxe urn n reewy newors: A moel preve onrol pproh." Europen Journl o Trnsporon n Inrsruure Reserh 3(3): Wgner C. C. Homnn e l. (1996). "Seon-orer onnuum r low moel." Physl Revew E 54(5): Wu N. (006). "A new moel or esmng rl gp n s sruon unsgnlze nerseons se on he eulrum o proles." Proeeng o he 5h Inernonl Symposum on Hghwy Cpy n Quly o Serve Yoohm Jpn. Yeo G. F. n B. Weesul (1964). "Delys o Ro Tr n Inerseon." Journl o Apple Proly 1():

2D TRANSFORMATIONS (Contd.)

2D TRANSFORMATIONS (Contd.) AML7 CAD LECURE 5 D RANSFORMAIONS Con. Sequene of operons, Mr ulplon, onenon, onon of operons pes of rnsforon Affne Mp: A p φ h ps E 3 no self s lle n ffne Mp f leves renr onons nvrn. 3 If β j j,, j E

More information

WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS?

WHAT HAPPENS WHEN YOU MIX COMPLEX NUMBERS WITH PRIME NUMBERS? WHAT HAPPES WHE YOU MIX COMPLEX UMBERS WITH PRIME UMBERS? There s n ol syng, you n t pples n ornges. Mthemtns hte n t; they love to throw pples n ornges nto foo proessor n see wht hppens. Sometmes they

More information

Supply chain coordination in 2-stage-orderingproductionsystembased

Supply chain coordination in 2-stage-orderingproductionsystembased As Pcfc ndusrl Engneerng nd Mngemen Sysem Supply chn coordnon n -sge-orderngproduconsysembsed on demnd forecsng upde Esuko Kusukw eprmen of Elecrcl Engneerng nd nformon Sysems, OskPrefecure Unversy, Sk,

More information

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ). PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a

More information

Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b].

Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b]. Improper Inegrls Dr. Philippe B. lvl Kennesw Se Universiy Sepember 9, 25 Absrc Noes on improper inegrls. Improper Inegrls. Inroducion In Clculus II, sudens defined he inegrl f (x) over finie inervl [,

More information

Generator stability analysis - Fractional tools application

Generator stability analysis - Fractional tools application Generor by ny - Frcon oo ppcon Auhor : Ocvn ENACHEANU Dephne RIU Nco RETIERE SDNE Grenobe -67 Oune. Eecrc nework cone. Frcon moeng o ynchronou mchne. Se pce repreenon n by conon o ynchronou mchne neger

More information

Stock Return Cross-Autocorrelations and Market Conditions in Japan *

Stock Return Cross-Autocorrelations and Market Conditions in Japan * So eurn Cross-Auoorrelions n Mre Coniions in Jpn * Allueen Hmee Nionl Universiy of Singpore Yuno usni Hong ong Universiy of Siene n Tehnology Asr We show h hnges in mre oniions signifinly ffe ross-uoorrelions

More information

Phys222 W12 Quiz 2: Chapters 23, 24. Name: = 80 nc, and q = 30 nc in the figure, what is the magnitude of the total electric force on q?

Phys222 W12 Quiz 2: Chapters 23, 24. Name: = 80 nc, and q = 30 nc in the figure, what is the magnitude of the total electric force on q? Nme: 1. A pricle (m = 5 g, = 5. µc) is relesed from res when i is 5 cm from second pricle (Q = µc). Deermine he mgniude of he iniil ccelerion of he 5-g pricle.. 54 m/s b. 9 m/s c. 7 m/s d. 65 m/s e. 36

More information

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field ecure 4 nducon evew nducors Self-nducon crcus nergy sored n a Magnec Feld 1 evew nducon end nergy Transfers mf Bv Mechancal energy ransform n elecrc and hen n hermal energy P Fv B v evew eformulaon of

More information

Outline. Numerical Analysis Boundary Value Problems & PDE. Exam. Boundary Value Problems. Boundary Value Problems. Solution to BVProblems

Outline. Numerical Analysis Boundary Value Problems & PDE. Exam. Boundary Value Problems. Boundary Value Problems. Solution to BVProblems Oulie Numericl Alysis oudry Vlue Prolems & PDE Lecure 5 Jeff Prker oudry Vlue Prolems Sooig Meod Fiie Differece Meod ollocio Fiie Eleme Fll, Pril Differeil Equios Recp of ove Exm You will o e le o rig

More information

When prices hardly matter: Incomplete insurance contracts and markets for repair goods

When prices hardly matter: Incomplete insurance contracts and markets for repair goods When res hrdly er: Inolee nsurne onrs nd rkes for rer goods Mrn Nell Professor of Rsk nd Insurne Unversy of Hurg, Gerny hone: 49 40 4838404, fx: 49 40 48385505 rn.nell@rrz.un-hurg.de Andres Rher Asssn

More information

A Novel Algorithm for Four Phase (Multi-phase) Source Side Load Balancing and Power Factor Correction

A Novel Algorithm for Four Phase (Multi-phase) Source Side Load Balancing and Power Factor Correction nterntonl Journl of Reent Trens n Engneerng, Vol, No. 3, My 009 A Novel Algorth for Four hse (Mult-phse Soure Se Lo Blnng n ower Ftor Correton Frst A. Zkr Husn, Seon B. R. K. Sngh n Thr C. S. N. Twr 3

More information

Vector Algebra. Lecture programme. Engineering Maths 1.2

Vector Algebra. Lecture programme. Engineering Maths 1.2 Leue pogmme Engneeng Mh. Veo lge Conen of leue. Genel noduon. Sl nd veo. Cen omponen. Deon one. Geome epeenon. Modulu of veo. Un veo. Pllel veo.. ddon of veo: pllelogm ule; ngle lw; polgon lw; veo lw fo

More information

Lesson 2.1 Inductive Reasoning

Lesson 2.1 Inductive Reasoning Lesson.1 Inutive Resoning Nme Perio Dte For Eerises 1 7, use inutive resoning to fin the net two terms in eh sequene. 1. 4, 8, 1, 16,,. 400, 00, 100, 0,,,. 1 8, 7, 1, 4,, 4.,,, 1, 1, 0,,. 60, 180, 10,

More information

Revision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax

Revision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax .3: Inucors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We connue our suy of energy sorage elemens wh a scusson of nucors. Inucors, lke ressors an capacors, are passe wo-ermnal

More information

EuroFGI Workshop on IP QoS and Traffic Control TITOLO. A Receiver Side Approach for Real-Time Monitoring of IP Performance Metrics

EuroFGI Workshop on IP QoS and Traffic Control TITOLO. A Receiver Side Approach for Real-Time Monitoring of IP Performance Metrics EuroFGI Workhop on IP QoS n Trff Conrol TITOLO A Rvr S Approh for Rl-T Monorng of IP Prforn Mr TESI R. G. Grroppo, S. Gorno, F. Oppno, G. Pro Dp. of Inforon Engnrng Unvry of P 1 Lbon, Porugl, Dbr 6-7,

More information

The art of Paperarchitecture (PA). MANUAL

The art of Paperarchitecture (PA). MANUAL The rt of Pperrhiteture (PA). MANUAL Introution Pperrhiteture (PA) is the rt of reting three-imensionl (3D) ojets out of plin piee of pper or ror. At first, esign is rwn (mnully or printe (using grphil

More information

ACE-1/onearm #show service-policy client-vips

ACE-1/onearm #show service-policy client-vips M A C E E x a m Basic Load Balancing Using O ne A r m M ode w it h S ou r ce N A T on t h e C isco A p p licat ion C ont r ol E ngine Goal Configure b a s ic l oa d b a l a nc ing (L a y er 3 ) w h ere

More information

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957

More information

GENERAL OPERATING PRINCIPLES

GENERAL OPERATING PRINCIPLES KEYSECUREPC USER MANUAL N.B.: PRIOR TO READING THIS MANUAL, YOU ARE ADVISED TO READ THE FOLLOWING MANUAL: GENERAL OPERATING PRINCIPLES Der Customer, KeySeurePC is n innovtive prout tht uses ptente tehnology:

More information

When prices hardly matter: Incomplete insurance contracts and markets for repair goods

When prices hardly matter: Incomplete insurance contracts and markets for repair goods Mrn Nell, Andres Rher, Jörg Shller When res hrdly er: Inolee nsurne onrs nd rkes for rer goods Workng Pers on Rsk nd Insurne Hurg Unversy No 4 Jnury 005 Tor zur Wel der Wssenshf Mrn Nell, Andres Rher,

More information

Three-Phase Induction Generator Feeding a Single-Phase Electrical Distribution System - Time Domain Mathematical Model

Three-Phase Induction Generator Feeding a Single-Phase Electrical Distribution System - Time Domain Mathematical Model Three-Phse Induton Genertor Feedng Sngle-Phse Eletrl Dstruton System - Tme Domn Mthemtl Model R.G. de Mendonç, MS. CEFET- GO Jtí Deentrlzed Unty Eletrotehnl Coordnton Jtí GO Brzl 763 L. Mrtns Neto, Dr.

More information

Campus Sustainability Assessment and Related Literature

Campus Sustainability Assessment and Related Literature Campus Sustainability Assessment and Related Literature An Annotated Bibliography and Resource Guide Andrew Nixon February 2002 Campus Sustainability Assessment Review Project Telephone: (616) 387-5626

More information

Maximum area of polygon

Maximum area of polygon Mimum re of polygon Suppose I give you n stiks. They might e of ifferent lengths, or the sme length, or some the sme s others, et. Now there re lots of polygons you n form with those stiks. Your jo is

More information

( ) Ú Ú. Ú Ú, c is a constant Ú Ú Ú Ú Ú. a Ú for any value of c. Ú Ú Ú Ú Ú Ú Ú ( ) =- ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )

( ) Ú Ú. Ú Ú, c is a constant Ú Ú Ú Ú Ú. a Ú for any value of c. Ú Ú Ú Ú Ú Ú Ú ( ) =- ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) Definie Inegrl: Suppose f on [, ]. Divie [, ] wih D n hoose Clulus Che Shee Inegrls Definiions is oninuous ino n suinervls of from eh inervl. * i * Then limâ ( i ) f = f D. næ i = AniDerivive : An nierivive

More information

CHAPTER 31 CAPACITOR

CHAPTER 31 CAPACITOR . Given tht Numer of eletron HPTER PITOR Net hrge Q.6 9.6 7 The net potentil ifferene L..6 pitne v 7.6 8 F.. r 5 m. m 8.854 5.4 6.95 5 F... Let the rius of the is R re R D mm m 8.85 r r 8.85 4. 5 m.5 m

More information

Application Note: Cisco A S A - Ce r t if ica t e T o S S L V P N Con n e ct ion P r of il e Overview: T h i s a p p l i ca ti o n n o te e x p l a i n s h o w to co n f i g u r e th e A S A to a cco m

More information

1 Fractions from an advanced point of view

1 Fractions from an advanced point of view 1 Frtions from n vne point of view We re going to stuy frtions from the viewpoint of moern lger, or strt lger. Our gol is to evelop eeper unerstning of wht n men. One onsequene of our eeper unerstning

More information

Selected Financial Formulae. Basic Time Value Formulae PV A FV A. FV Ad

Selected Financial Formulae. Basic Time Value Formulae PV A FV A. FV Ad Basc Tme Value e Fuure Value of a Sngle Sum PV( + Presen Value of a Sngle Sum PV ------------------ ( + Solve for for a Sngle Sum ln ------ PV -------------------- ln( + Solve for for a Sngle Sum ------

More information

Example What is the minimum bandwidth for transmitting data at a rate of 33.6 kbps without ISI?

Example What is the minimum bandwidth for transmitting data at a rate of 33.6 kbps without ISI? Emple Wh is he minimum ndwidh for rnsmiing d re of 33.6 kps wihou ISI? Answer: he minimum ndwidh is equl o he yquis ndwidh. herefore, BW min W R / 33.6/ 6.8 khz oe: If % roll-off chrcerisic is used, ndwidh

More information

Dynamic Magnification Factor of SDOF Oscillators under. Harmonic Loading

Dynamic Magnification Factor of SDOF Oscillators under. Harmonic Loading Dynmic Mgnificion Fcor of SDOF Oscillors under Hrmonic Loding Luis Mrí Gil-Mrín, Jun Frncisco Cronell-Márquez, Enrique Hernández-Mones 3, Mrk Aschheim 4 nd M. Psds-Fernández 5 Asrc The mgnificion fcor

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

Inductance and Transient Circuits

Inductance and Transient Circuits Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual

More information

Spline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II

Spline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II Lecure 4 Curves and Surfaces II Splne A long flexble srps of meal used by drafspersons o lay ou he surfaces of arplanes, cars and shps Ducks weghs aached o he splnes were used o pull he splne n dfferen

More information

Swelling and Mechanical Properties of Hydrogels Composed of. Binary Blends of Inter-linked ph-responsive Microgel Particles

Swelling and Mechanical Properties of Hydrogels Composed of. Binary Blends of Inter-linked ph-responsive Microgel Particles Eletroi Supplemetry Mteril (ESI) for Soft Mtter. This jourl is The Royl Soiety of Chemistry 205 SUPPLEMENTARY INFRMATIN Swellig Mehil Properties of Hyrogels Compose of Biry Bles of Iter-like ph-resposive

More information

C o a t i a n P u b l i c D e b tm a n a g e m e n t a n d C h a l l e n g e s o f M a k e t D e v e l o p m e n t Z a g e bo 8 t h A p i l 2 0 1 1 h t t pdd w w wp i j fp h D p u b l i c2 d e b td S t

More information

Replicating. embedded options

Replicating. embedded options CUING EDGE EMBEDDED OPIONS Replcng embedded opons Insurnce compnes nvesed hevly n sochsc models. he nex horzon s o embed hese models more deeply no sse lbly mngemen processes. he uhors beleve h he replcng

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

LIFE INSURANCE PLANS AND STOCHASTIC ORDERS

LIFE INSURANCE PLANS AND STOCHASTIC ORDERS HE PUBLISHING HOUSE PROCEEDINGS O HE ROMANIAN ACADEMY, Series A, O HE ROMANIAN ACADEMY Volume 6, Numer /5, pp. - LIE INSURANCE PLANS AND SOCHASIC ORDERS Gheorghiţă ZBĂGANU Gheorghe Miho Cius Io Insiue

More information

1 HALF-LIFE EQUATIONS

1 HALF-LIFE EQUATIONS R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)

More information

OxCORT v4 Quick Guide Revision Class Reports

OxCORT v4 Quick Guide Revision Class Reports OxCORT v4 Quik Guie Revision Clss Reports This quik guie is suitble for the following roles: Tutor This quik guie reltes to the following menu options: Crete Revision Clss Reports pg 1 Crete Revision Clss

More information

Quick Guide to Lisp Implementation

Quick Guide to Lisp Implementation isp Implementtion Hndout Pge 1 o 10 Quik Guide to isp Implementtion Representtion o si dt strutures isp dt strutures re lled S-epressions. The representtion o n S-epression n e roken into two piees, the

More information

How To Calculate Backup From A Backup From An Oal To A Daa

How To Calculate Backup From A Backup From An Oal To A Daa 6 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.4 No.7, July 04 Mahemacal Model of Daa Backup and Recovery Karel Burda The Faculy of Elecrcal Engneerng and Communcaon Brno Unversy

More information

Recruiting Suppliers for Reverse Production Systems: an MDP Heuristics Approach

Recruiting Suppliers for Reverse Production Systems: an MDP Heuristics Approach Recrung Supplers for Reverse Producon Sysems: n MDP Heurscs Approch Wuhch Wonghsnekorn, Mhew J. Relff 2, Jne C. Ammons Georg Insue of Technology School of Indusrl nd Sysems Engneerng Aln, GA 30332-0205

More information

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct

H ig h L e v e l O v e r v iew. S te p h a n M a rt in. S e n io r S y s te m A rc h i te ct H ig h L e v e l O v e r v iew S te p h a n M a rt in S e n io r S y s te m A rc h i te ct OPEN XCHANGE Architecture Overview A ge nda D es ig n G o als A rc h i te ct u re O ve rv i ew S c a l a b ili

More information

Put the human back in Human Resources.

Put the human back in Human Resources. Put the human back in Human Resources A Co m p l et e Hu m a n Ca p i t a l Ma n a g em en t So l u t i o n t h a t em p o w er s HR p r o f essi o n a l s t o m eet t h ei r co r p o r a t e o b j ect

More information

Device I n s t r u m en t a t io n E x a m p l es : I P S L A s & N et F l o w Presented by Emmanuel Tychon Techni cal M ark eti ng Eng i neer TU D resden, J anuary 1 7 th 2 0 0 7 1. C is co I O S I P

More information

SE3BB4: Software Design III Concurrent System Design. Sample Solutions to Assignment 1

SE3BB4: Software Design III Concurrent System Design. Sample Solutions to Assignment 1 SE3BB4: Softwre Design III Conurrent System Design Winter 2011 Smple Solutions to Assignment 1 Eh question is worth 10pts. Totl of this ssignment is 70pts. Eh ssignment is worth 9%. If you think your solution

More information

Angles 2.1. Exercise 2.1... Find the size of the lettered angles. Give reasons for your answers. a) b) c) Example

Angles 2.1. Exercise 2.1... Find the size of the lettered angles. Give reasons for your answers. a) b) c) Example 2.1 Angles Reognise lternte n orresponing ngles Key wors prllel lternte orresponing vertilly opposite Rememer, prllel lines re stright lines whih never meet or ross. The rrows show tht the lines re prllel

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

EXAMPLE 1... 1 EXAMPLE 2... 14 EXAMPLE 3... 18 EXAMPLE 4 UNIVERSAL TRADITIONAL APPROACH... 24 EXAMPLE 5 FLEXIBLE PRODUCT... 26

EXAMPLE 1... 1 EXAMPLE 2... 14 EXAMPLE 3... 18 EXAMPLE 4 UNIVERSAL TRADITIONAL APPROACH... 24 EXAMPLE 5 FLEXIBLE PRODUCT... 26 EXAMLE... A. Edowme... B. ure edowme d Term surce... 4 C. Reseres... 8. Bruo premum d reseres... EXAMLE 2... 4 A. Whoe fe... 4 B. Reseres of Whoe fe... 6 C. Bruo Whoe fe... 7 EXAMLE 3... 8 A.ure edowme...

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

LOAD BALANCING AND POWER FACTOR CORRECTION FOR MULTIPHASE POWER SYSTEMS

LOAD BALANCING AND POWER FACTOR CORRECTION FOR MULTIPHASE POWER SYSTEMS nterntonl Journl of Ane Reserh n Engneerng n Tehnology (JARET) olue 7, ssue, Mrh-Aprl 6, pp. 9, Artle D: JARET_7 9 Alle onlne t http://www.ee.o/jaret/ssues.sp?jtype=jaret&type=7&type= Journl pt Ftor (6):

More information

1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1.

1. Oblast rozvoj spolků a SU UK 1.1. Zvyšování kvalifikace Školení Zapojení do projektů Poradenství 1.2. Financování 1.2.1. 1. O b l a s t r o z v o j s p o l k a S U U K 1. 1. Z v y š o v á n í k v a l i f i k a c e Š k o l e n í o S t u d e n t s k á u n i e U n i v e r z i t y K a r l o v y ( d á l e j e n S U U K ) z í

More information

Capacitors and inductors

Capacitors and inductors Capaciors and inducors We coninue wih our analysis of linear circuis by inroducing wo new passive and linear elemens: he capacior and he inducor. All he mehods developed so far for he analysis of linear

More information

50 MATHCOUNTS LECTURES (10) RATIOS, RATES, AND PROPORTIONS

50 MATHCOUNTS LECTURES (10) RATIOS, RATES, AND PROPORTIONS 0 MATHCOUNTS LECTURES (0) RATIOS, RATES, AND PROPORTIONS BASIC KNOWLEDGE () RATIOS: Rtios re use to ompre two or more numers For n two numers n ( 0), the rtio is written s : = / Emple : If 4 stuents in

More information

Exam FM/2 Interest Theory Formulas

Exam FM/2 Interest Theory Formulas Exm FM/ Iere Theory Formul by (/roprcy Th collboro of formul for he ere heory eco of he SO Exm FM / S Exm. Th uy hee free o-copyrghe ocume for ue g Exm FM/. The uhor of h uy hee ug ome oo h uque o h o

More information

Secure Hash Standard (SHS) The 8/2015 release of FIPS 180-4 updates only the Applicability Clause. Final Publication of FIPS 180-4:

Secure Hash Standard (SHS) The 8/2015 release of FIPS 180-4 updates only the Applicability Clause. Final Publication of FIPS 180-4: The ched drf FIPS 8- provded here for hsorcl purposes hs been superseded by he followng FIPS publcon: Publcon Number: FIPS 8- Tle: Secure sh Sndrd SS Publcon De: 8/5 The 8/5 relese of FIPS 8- updes only

More information

M Official Bologna S e m inar Joint d e gr e e s- A H allm ar k of t h e E u r op e an H igh e r E d u cat ion A r e a? R e s u l t s o f q u e s t i o n n a i r e s e n t t o B o l o g n a F o l l o w

More information

A Model for Time Series Analysis

A Model for Time Series Analysis Aled Mahemaal Senes, Vol. 6, 0, no. 5, 5735-5748 A Model for Tme Seres Analyss me A. H. Poo Sunway Unversy Busness Shool Sunway Unversy Bandar Sunway, Malaysa ahhn@sunway.edu.my Absra Consder a me seres

More information

Rotating DC Motors Part II

Rotating DC Motors Part II Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors

More information

HFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS

HFCC Math Lab Intermediate Algebra - 13 SOLVING RATE-TIME-DISTANCE PROBLEMS HFCC Mah Lab Inemeiae Algeba - 3 SOLVING RATE-TIME-DISTANCE PROBLEMS The vaiables involve in a moion poblem ae isance (), ae (), an ime (). These vaiables ae elae by he equaion, which can be solve fo any

More information

SCO TT G LEA SO N D EM O Z G EB R E-

SCO TT G LEA SO N D EM O Z G EB R E- SCO TT G LEA SO N D EM O Z G EB R E- EG Z IA B H ER e d it o r s N ) LICA TIO N S A N D M ETH O D S t DVD N CLUDED C o n t e n Ls Pr e fa c e x v G l o b a l N a v i g a t i o n Sa t e llit e S y s t e

More information

The remaining two sides of the right triangle are called the legs of the right triangle.

The remaining two sides of the right triangle are called the legs of the right triangle. 10 MODULE 6. RADICAL EXPRESSIONS 6 Pythgoren Theorem The Pythgoren Theorem An ngle tht mesures 90 degrees is lled right ngle. If one of the ngles of tringle is right ngle, then the tringle is lled right

More information

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100...

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100... Normal (Gaussian) Disribuion Probabiliy De ensiy 0.5 0. 0.5 0. 0.05 0. 0.9 0.8 0.7 0.6? 0.5 0.4 0.3 0. 0. 0 3.6 5. 6.8 8.4 0.6 3. 4.8 6.4 8 The Black-Scholes Shl Ml Moel... pricing opions an calculaing

More information

Resistive Network Analysis. The Node Voltage Method - 1

Resistive Network Analysis. The Node Voltage Method - 1 esste Network Anlyss he nlyss of n electrcl network conssts of determnng ech of the unknown rnch currents nd node oltges. A numer of methods for network nlyss he een deeloped, sed on Ohm s Lw nd Krchoff

More information

FORT WAYNE COMMUNITY SCHOOLS 12 00 SOUTH CLINTON STREET FORT WAYNE, IN 468 02 6:02 p.m. Ma r c h 2 3, 2 015 OFFICIAL P ROCEED ING S Ro l l Ca l l e a r d o f h o o l u e e o f t h e r t y m m u t y h o

More information

With Rejoicing Hearts/ Con Amor Jovial. A Fm7 B sus 4 B Cm Cm7/B

With Rejoicing Hearts/ Con Amor Jovial. A Fm7 B sus 4 B Cm Cm7/B for uli With Rejoic Herts/ on mor ol dition # 10745-Z1 ime ortez Keyord ccompniment y effy Honoré INTRO With energy ( = c 88) Keyord * m7 B sus 4 B 7/B mj 9 /B SMPL B 7 *Without percussion, egin he 1995,

More information

Newton-Raphson Method of Solving a Nonlinear Equation Autar Kaw

Newton-Raphson Method of Solving a Nonlinear Equation Autar Kaw Newton-Rphson Method o Solvng Nonlner Equton Autr Kw Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Fluent Merging: A General Technique to Improve Reachability Heuristics and Factored Planning

Fluent Merging: A General Technique to Improve Reachability Heuristics and Factored Planning Fluent Merging: A Generl Tehnique to Improve Rehility Heuristis n Ftore Plnning Menkes vn en Briel Deprtment of Inustril Engineering Arizon Stte University Tempe AZ, 85287-8809 menkes@su.eu Suro Kmhmpti

More information

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR 8S CHAPTER 8 EXAMPLES EXAMPLE 8.4A THE INVESTMENT NEEDED TO REACH A PARTICULAR FUTURE VALUE What amount must you nvest now at 4% compoune monthly

More information

Outsourcing of Unionized Firms and the Impact of Labor Market Policy Reforms

Outsourcing of Unionized Firms and the Impact of Labor Market Policy Reforms DISCUSSION PAPER SERIES IZA DP No. 3566 Ousouring of Unionized Firms nd he Imp of Lbor rke Poliy Rerms Erkki Koskel Ronnie Shöb June 008 Forshungsinsiu zur Zukunf der Arbei Insiue r he Sudy of Lbor Ousouring

More information

1. Answers. r 2. (b) 2md. (c) (d) V c 2. (f) I c. V/ V th. Theoretical Question 1: Ping-Pong Resistor. Theoretical Question 1 / Solutions Page 1/12

1. Answers. r 2. (b) 2md. (c) (d) V c 2. (f) I c. V/ V th. Theoretical Question 1: Ping-Pong Resistor. Theoretical Question 1 / Solutions Page 1/12 Theoreil Queion / Soluion Pe / Theoreil Queion : Pin-Pon Reior. Anwer () FR πr ε (b) π ε r () h m () α β α m, β ( ) 3 (e) γ m (f) m, I m ( )( ) I I ~ γ I / h Theoreil Queion / Soluion Pe /. Soluion ()

More information

Collaboration in Public H e alth be tw e e n U niv e rs ity of H e id e lbe rg and U niv e rs ity of D ar e s S alaam How t h e c oop e r a t i on e m e r g e d Informal c ont ac t s from e arly 1 9

More information

MORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi

MORE ON TVM, SIX FUNCTIONS OF A DOLLAR, FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).

More information

Words Symbols Diagram. abcde. a + b + c + d + e

Words Symbols Diagram. abcde. a + b + c + d + e Logi Gtes nd Properties We will e using logil opertions to uild mhines tht n do rithmeti lultions. It s useful to think of these opertions s si omponents tht n e hooked together into omplex networks. To

More information

Boğaziçi University Department of Economics Spring 2016 EC 102 PRINCIPLES of MACROECONOMICS Problem Set 5 Answer Key

Boğaziçi University Department of Economics Spring 2016 EC 102 PRINCIPLES of MACROECONOMICS Problem Set 5 Answer Key Boğziçi University Deprtment of Eonomis Spring 2016 EC 102 PRINCIPLES of MACROECONOMICS Prolem Set 5 Answer Key 1. One yer ountry hs negtive net exports. The next yer it still hs negtive net exports n

More information

A Hybrid Wind-Solar Energy System: A New Rectifier Stage Topology

A Hybrid Wind-Solar Energy System: A New Rectifier Stage Topology A Hybr n-solar Energy Sysem: A New Recfer Sage Topology Joanne Hu*, IEEE Suen Member, Alreza Bakhsha IEEE Senor Member, an Praveen K. Jan, IEEE Fellow Deparmen of Elecrcal an Compuer Engneerng Queen s

More information

International Journal of Mathematical Archive-7(5), 2016, 193-198 Available online through www.ijma.info ISSN 2229 5046

International Journal of Mathematical Archive-7(5), 2016, 193-198 Available online through www.ijma.info ISSN 2229 5046 Inernaonal Journal of Mahemacal rchve-75), 06, 9-98 valable onlne hrough wwwjmanfo ISSN 9 506 NOTE ON FUZZY WEKLY OMPLETELY PRIME - IDELS IN TERNRY SEMIGROUPS U NGI REDDY *, Dr G SHOBHLTH Research scholar,

More information

Bottom Line: Sideways consolidation continues. 5630 holds the key on the downside for Nifty.

Bottom Line: Sideways consolidation continues. 5630 holds the key on the downside for Nifty. Edted y Vshl Dl, CMT shldl@wesreserh.om Reserh y, Rsh Asrn rshsrn@wesreserh.om Bottom Lne: Sdewys onsoldton ontnues. 5630 holds the key on the downsde for Nfty. t 23, 202 SENSEX Medum term We Count Dly

More information

Forensic Engineering Techniques for VLSI CAD Tools

Forensic Engineering Techniques for VLSI CAD Tools Forensi Engineering Tehniques for VLSI CAD Tools Jennifer L. Wong, Drko Kirovski, Dvi Liu, Miorg Potkonjk UCLA Computer Siene Deprtment University of Cliforni, Los Angeles June 8, 2000 Computtionl Forensi

More information

Full-wave Bridge Rectifier Analysis

Full-wave Bridge Rectifier Analysis Full-wave Brige Recifier Analysis Jahan A. Feuch, Ocober, 00 his aer evelos aroximae equais for esigning or analyzing a full-wave brige recifier eak-eecor circui. his circui is commly use in A o D cverers,

More information

HR DEPARTMENTAL SUFFIX & ORGANIZATION CODES

HR DEPARTMENTAL SUFFIX & ORGANIZATION CODES HR DEPARTMENTAL SUFFIX & ORGANIZATION CODES Department Suffix Organization Academic Affairs and Dean of Faculty, VP AA 1100 Admissions (Undergraduate) AD 1330 Advanced Ceramics, Colorado Center for--ccac

More information

Linear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction

Linear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction Lnear Exenson Cube Aack on Sream Cphers Lren Dng Yongjuan Wang Zhufeng L (Language Engneerng Deparmen, Luo yang Unversy for Foregn Language, Luo yang cy, He nan Provnce, 47003, P. R. Chna) Absrac: Basng

More information

Module 5. Three-phase AC Circuits. Version 2 EE IIT, Kharagpur

Module 5. Three-phase AC Circuits. Version 2 EE IIT, Kharagpur Module 5 Three-hse A iruits Version EE IIT, Khrgur esson 8 Three-hse Blned Suly Version EE IIT, Khrgur In the module, ontining six lessons (-7), the study of iruits, onsisting of the liner elements resistne,

More information

grow scouting s impact.

grow scouting s impact. grow scouting s impct. 20 16 Fmi ly F r ien d s of S c o u t i ng U ni t C h i r m n G u i debook Cr o s s r o d s o f Americ Council, Boy Scouts of Americ this isn t your fr s scout progrm. sure we like

More information

The Benefits of Opportunistic Shorting

The Benefits of Opportunistic Shorting The Benefs of Opporunsc Shorng Insghs from: Mos nvesors re fmlr wh he concep of dversfcon nd llocng her cpl mong dfferen sse clsses. Agns hs bckdrop, hey ypclly spend gre del of me deermnng n ppropre mx

More information

Ratio and Proportion

Ratio and Proportion Rtio nd Proportion Rtio: The onept of rtio ours frequently nd in wide vriety of wys For exmple: A newspper reports tht the rtio of Repulins to Demorts on ertin Congressionl ommittee is 3 to The student/fulty

More information

MATH PLACEMENT REVIEW GUIDE

MATH PLACEMENT REVIEW GUIDE MATH PLACEMENT REVIEW GUIDE This guie is intene s fous for your review efore tking the plement test. The questions presente here my not e on the plement test. Although si skills lultor is provie for your

More information

An Algorithm for Mining Frequent Closed Itemsets with Density from Data Streams

An Algorithm for Mining Frequent Closed Itemsets with Density from Data Streams Inernaonal Journal of Copuer enes and Enneern Open Aess Researh Paper Volue-4, Issue-2 E-IN: 2347-2693 An Alorh for Mnn Frequen Closed Ieses wh Densy fro Daa reas Cayan Da and Ln Chen 2 * Collee of Copuer

More information

AN EVALUATION OF SHORT TERM TREATMENT PROGRAM FOR PERSONS DRIVING UNDER THE INFLUENCE OF ALCOHOL 1978-1981. P. A. V a le s, Ph.D.

AN EVALUATION OF SHORT TERM TREATMENT PROGRAM FOR PERSONS DRIVING UNDER THE INFLUENCE OF ALCOHOL 1978-1981. P. A. V a le s, Ph.D. AN EVALUATION OF SHORT TERM TREATMENT PROGRAM FOR PERSONS DRIVING UNDER THE INFLUENCE OF ALCOHOL 1978-1981 P. A. V a le s, Ph.D. SYNOPSIS Two in d ep en d en t tre a tm e n t g ro u p s, p a r t ic ip

More information

Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA

Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA Pedro M. Casro Iro Harjunkosk Ignaco E. Grossmann Lsbon Porugal Ladenburg Germany Psburgh USA 1 Process operaons are ofen subjec o energy consrans Heang and coolng ules elecrcal power Avalably Prce Challengng

More information

d e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o

d e f i n i c j i p o s t a w y, z w i z a n e j e s t t o m. i n. z t y m, i p o jі c i e t o P o s t a w y s p o і e c z e t s t w a w o b e c o s у b n i e p e і n o s p r a w n y c h z e s z c z e g у l n y m u w z g lb d n i e n i e m o s у b z z e s p o і e m D o w n a T h e a t t i t uodf

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

Impact of scripless trading on business practices of Sub-brokers.

Impact of scripless trading on business practices of Sub-brokers. Impac of scripless rading on business pracices of Sub-brokers. For furher deails, please conac: Mr. T. Koshy Vice Presiden Naional Securiies Deposiory Ld. Tradeworld, 5 h Floor, Kamala Mills Compound,

More information

Thuraya XT-LITE Simple. Reliable. Affordable.

Thuraya XT-LITE Simple. Reliable. Affordable. Thuraya XT-LITE Simple. Reliable. Affordable. www.thuraya.com Follow us on /thurayatelecom Stayi n g c on n ec ted has n ever b een thi s eas y. In trodu c i n g T hu raya X T -LIT E, the wo r l d s be

More information

Orthopoles and the Pappus Theorem

Orthopoles and the Pappus Theorem Forum Geometriorum Volume 4 (2004) 53 59. FORUM GEOM ISSN 1534-1178 Orthopoles n the Pppus Theorem tul Dixit n Drij Grinerg strt. If the verties of tringle re projete onto given line, the perpeniulrs from

More information

Trade Liberalization and Export Variety: A Comparison of Mexico and China

Trade Liberalization and Export Variety: A Comparison of Mexico and China Trde Liberlizion nd Expor Vriey: A Comprison of Mexio nd Chin Rober C. Feensr Hiu Looi Kee Running Tile: Trde Liberlizion nd Expor Vriey ROBERT C. FEENSTRA, Deprmen of Eonomis, Universiy of Cliforni, Dvis,

More information

Enroll Today! NEW! Portage Lakes Career Center. Earn credits towards your Associate Degree at PLCC! 8/14/15. Each path unique... All point to success.

Enroll Today! NEW! Portage Lakes Career Center. Earn credits towards your Associate Degree at PLCC! 8/14/15. Each path unique... All point to success. Admsson Requremens Sudens re enourged o enroll n ny lss regrdless of ge or gender. Trnng n nonrdonl reers s srongly enourged. Sudens mus provde he followng he me of regsron: Complee pplon form Offl hgh

More information

Bonn Declaration on Regional Cooperation in Quality Assurance in Higher Education Adopted on 20 June 2007 during the Conference Enhancing Quality Across Borders R egional Cooperation in Quality Assurance

More information