Smarter Transportation: The power of Big Data and Analytics

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1 Smate Tanspotation: The powe of Big Data and Analytics Eic-Mak Huitema, Global Smate Tanspotation Leade IBM 1

2 Intelligent Tanspot Systems (ITS) fo the futue 2

3 BECAUSE WE WANT IT FOR THE FUTURE. How? The wold is becoming INSTRUMENTED Smat sensos on oad, in cas, Connected cas eveywhee The wold is becoming INTERCONNECTED Linking infomation on oad, in cas and ailways, thoughout the supply chain the intenet of things The wold is becoming INTELLIGENT Cas talking to each othe, sensos talking to each othe, we can pedict whee taffic jams ae, befoe and while you dive Fleets / Cas avoiding accidents, Peventive fleet maintenance, inteaction with the envionment, Planning, signs, events, cas and POI info. 3

4 AL[pl, ] AL[pl, ] AL[pl, ] AL[pl, ] volume REAL[pl, ] REAL[pl, ] REAL[pl, ] REAL[pl, ] REAL[pl, ] REAL[pl, ] REAL[pl, ] REAL[pl, ] ID ID ID ID Pediction: accuately foecasting futue taffic conditions Issue: eal-time is too late Gigabytes of eal-time taffic data available today. But by the time it is eceived, it is no longe epesentative of the actual taffic IBM Innovation: foecast the futue IBM s Taffic pediction: intelligence combining senso data & sophisticated algoithms that ceate elevant insights fom the aw data ID ID blue = foecast black ID ID = actual ed = incident time With ou Taffic incident ID & ID emegency esponse system, we can ID ID eact and espond faste and moe efficiently. It s helping us save lives. Eduado Paes, Mayo, City of Rio de Janieo

5 Tanspotation Data Analytics enhances vehicle safety Analytics geneate Infa 2 Vehicle waning and tigges Assisted beaking 5

6 Ceating benefits fom big data acoss multiple egions & oganizations Challenges Reduced Budgets Incease Delivey Expectations Aging Infastuctue Inceased Theats ITMC Tanspotation Management Cente Benefits Inceased Revenue Opeational efficiencies Reduced Costs Economic Vitality Fom the 3 I s to the 3 A s: Awaeness: Leveage eal-time visibility acoss city data souces Anticipate: Act: Poactively identify poblems to mitigate impact to sevices Coodinate coss-agency opeations to dive bette business outcomes 6

7 Cities aound the wold have expeienced significant impovements afte implementing ou Intelligent Taffic Management Systems * Potential Benefits Congestion -25% Resultant Retail Sales +6% Walking and cycling tavel Wait at pedestians cossings +80% -35% Fuel Economy +15% vehicle collisions -30% Emissions Taffic delays Public tanspot ideship -10% -25/40% +10/30% incident esponse time +80% cyclist injuies -30% pedestian accidents -65% * Benefits ae illustative of potential fo positive change, based on expeience of many cities aound the wold Souce: PH Gov Figues; IBM; RITA US Dept of Tanspotation; Cycling Embassy of Geat Bitain; USA Today, Leeds City Council, 7

8 Smate Tanspotation solutions ae geneating funds Gothenbug, London, Stockholm and Noway An intelligent oad chaging system educes taffic by 20 pecent, inceases public tanspot usage by 40,000 uses pe day, and damatically cuts peaktime oad congestion Wolfsbug, Shanghai Mege Mobile Real-Time Senso Data fom Vehicles and Road Taffic Data to enable Officials to Monito and Act on Unexpected Road Conditions, loweing costs and congestion Lyon, Optimod Can foecast taffic conditions 60 minutes into the futue to help pevent planning congestion fo goods delivey. The solution geneates altenative outes and automatically advises delivey plannes to enhance the flow of taffic & tansit 8

9 Smate Tanspotation TMC Solutions Nice Côte d Azu, City and Aipot A Tanspotation management cente and asset management solution centalizes eal-time monitoing and epoting of all the city and aipot's citical assets, allowing opeatos to pedict and pevent tanspot and maintenance issues and povide a consistently high standad of sevice to taveles, aipot tenants, such as etail stoes, ca ental agencies and the taffic and fie depatment Miami City & Stadium: Sun Life stadium Use Intelligent Opeations Cente fo Smate Tanspot to addess the logistical and management challenges facing its staff while offeing visitos a unique fan expeience. IBM's IOT povides a complete inteconnected view of stadium activity, fom weathe alets, to eal-time secuity, to taffic flow into the stadium ceating a seamless flow of visitos attending a game, to insights into dining expeience o buy food at concession stands pio to a big game Rail tanspot : SNCF Use an Linea Tanspotation asset management solution to optimize maintenance of its olling stock, by integating maintenance pocesses and centalize infomation, including ealtime data collected by intelligent sensos placed on ailway equipment. 30% eduction in maintenance costs by moving fom a peventive to pedictive maintenance model 9

10 Intelligent Tanspot Management cente Leveaging Multiple Data Souces Evolution of Data Souces Connecting acoss multiple data souces fo a single pictue acoss the city Video Pediction Mobil Phone Tacking Citizen Collaboation Sensos Coelation Connected Cas Social Media Analytics Factual Mathematical Obsevational Sentiment 10

11 Coopeation with Apple, Tansdev & IBM Tanspot Fleet Management Cente based solution with Apple coopeation IBM SW: IOC, Cognos, SPSS, Steams, Social media Doo to doo oute planning Multi modal tavel with eal time and pedictive infomation Payment fo you Tanspot 11

12 Inceasing Taffic Awaeness via Twitte Naiobi example Post taffic infomation peiodically fo selected 50 oundabouts/oad Conducted a suvey to get feedback fom uses Image Analytics & Netwok Analytics Aeas selected fo Taffic Awaeness Global Labs - GMU TIP OpenSteetMap contibutos, CC BY-SA

13 Social media Intelligent Tanspotation - How It woks Key Pocess Indicatos ae monitoed and managed to tigge actions Example: Real time monitoing of a bus envionment Factual Obsevational Sentiment 13

14 The Connected fleet is thee p p LF, UHF 14

15 ..with numeous elated application aeas 55% Automotive elated Top Connected Devices We May See in 2020 & Thei Estimated Values Connected Ca $600 billion Clinical Remote Monitoing $350 billion Assisted Living $270 billion Home & Building Secuity $250 billion Pay-As-You-Dive Ca Insuance $245 billion New Biz. Models fo Ca Usage $225 billion Smat Metes $105 billion Taffic Management $100 billion Electic Vehicle Chaging $ 75 billion Building Automation $ 40 billion Souce: PC Today, Apil 20 15

16 1974 : Amstedam the White ca shaing poject (40 Yeas) 2014 : Young people want a tanspotation as a sevice (not a ca) TaaS 16

17 17

18 We Connect Tanspotation Fleets IBM MessageSight is a messaging engine in a box 18

19 Snow and Ice ain eal time Novembe 25, 08:45 19

20 Snow and Ice ain eal time Novembe 25, 09:15 20

21 Snow and Ice ain eal time Novembe 25, 10:15 21

22 Snow and Ice ain eal time Novembe 25, 11:15 22

23 Snow and Ice ain eal time Novembe 25, 12:00 Heavy Snow / Rain 23

24 City and NL DOT benefits fom oad suface info NL DOT (Rijkswatestaat) and Univesity of Eindhoven have concluded that in-ca data povides detailed infomation on oad suface conditions. 24

25 Miami Expeience (2014) Pediction of bus bunching Pedictive analytics fo Miami Tansit Opeations division: Real-time alets on whee and when bus bunching will occu in the futue Allow fo anticipative coection and aid in maintain bus headways Povide Miami Tansit Schedule & Planning divisions with data insights and patten discovey fo schedule optimization and efinement Identify system pefomance chaacteistics and bottlenecks 25

26 Space time fame of efeence End stop Steepe the line faste the bus Distance along oute (Offset) Flatte lines indicate slowdowns Stat stop Time 26

27 What is bus bunching? Buses seving the same customes aiving togethe Bad fo passenges Longe wait time Lowe sevice quality Bad fo opeatos Lowe capacity utilization Revenue implications Data fo two consecutive Wednesdays Key dimensions Vaiability in taffic conditions and boading pattens Unstable system (once it occus, it is likely to wosen) 27

28 Models that constantly lean 28

29 Bus Bunching alets 29

30 When and whee does bunching occu? 75,000 alets geneated duing pilot fo 9,000 bunching pedictions Majoity of events along Route 119 (seves high-taffic aeas of downtown Miami, Miami Beach and commecial aeas like Aventua Mall) Systematic opeational pattens uncoveed 30

31 When and whee does bunching occu? Route 119 Southbound Stat teminal Diection of tavel end teminal Hou of day 31

32 When and whee does bunching occu? Route 119 Nothbound Stat teminal Diection of tavel end teminal Hou of day Bunching of buses ealy in the oute 32

33 Tajectoies Position updates Pefomance measues 33

34 The data 2.6 million bus positions duing pilot ~20,000 bus uns fo the fou outes Key dimensions On-time pefomance Dispatch pefomance En-oute pefomance Dwell times Coelation with ideship Coelation with schedule 34

35 Data fo 119 Nothbound Chaacteize pefomance chaacteistics Dwell times 7.7 Miles (12.5 km) 33 min 44 min 35

36 Detection of the poblems using Big data analytics Aveage speed pofile (kmh) along 119 Nothbound 50mph Highe vaiability Lincoln James Av Highe vaiability 25mph 36

37 Tanspotation BIG data analytics solves the issues! Schedule efinement 37

38 Tanspot BIG data Use Cases fo Tanspotation Management Taffic infomation Taffic pediction Dynamic navigation Multi-modal oute planne Road wanings Congestion alet Dive status Paking locato Taffic & navigation e-intelligent diving m-commece Connected Vehicle Data Cloud IBM PAYD insuance Location-based advetising Loyalty management Envionment potection Communicatio n/collaboatio n Public tanspot Vehicle usage Emissions compliance Goup tacking Family & fiends Collaboation Emegency & safety Industy solutions Fleet management Emegency assistance Safety alet Taxi management Uban management 38

39 Tanspotation BIG data Analytics enhances Delivey A delivey done can be utilized to tanspot packages, food and othe goods. As of 2014, deliveing of packages with dones in the USA is not pemitted unde cuent egulations. But efficient delivey methods can be based on efficient oad tanspot and making sue the goods ae eceived on time and when and whee it is convenient to customes. Pivate delivey Tanspotation Management Centes (TMC) inteact with Systems of engagement (social media) s 39

40 IBM Intelligent Opeations Cente fo Smate Tanspot Based on engagements with smate customes Collecting & analyzing data, while automating a collaboative esponse Events Incidents Incidents Events Events Events Events Data Insight Events / Incidents One platfom, many use cases: Tanspotation Public safety City Fleets Health & Social welfae 40 5/13/2015 Template Documentation Enegy & buildings Stadiums, Aipots

41 DATA: The Heat & At Fo Smate Tanspotation In Cities 41

42 Thank You fo a Smate planet 42

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