Queue Detection and Traveller Information System at the Champlain/Lacolle Border Crossing on Autoroute 15
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1 Queue Detection and Traveller Information System at the Champlain/Lacolle Border Crossing on Autoroute 15 by Michael De Santis, Eng LYNX Technologies Inc ITE District 1 Annual Meeting Safe-T for All Seasons May 19-21, 2004 Burlington, Vermont
2 Outline Context & Objectives Corridor Design Elements General System Architecture Functional Requirements System Components Preliminary Estimations 2
3 Context Queues at border crossing frequency: ± 90 / year in 2002 and 2003 on average, once / 4 days maximum length: over 8 km (5 mi) in 2002 over 10 km (6 mi) in 2003 close to 80% under 4 km (2.5 mi) 3
4 Context Length nombre de fois où il y a Frequency of queues refoulement Day of the week nombre de jours où l'on observe No. of days queue observed une file d'attente dimanche Sunday Monday lundi Tuesday mardi Wednesday mercredi Thursday jeudi vendredi Friday Saturday samedi jour de la semaine longueur Length de la of file queue d'attente (km) (m) (km) 4
5 Context Safety concerns unexpected stopped or slow moving vehicles high collision risk Traveller information provided but limited advanced warning required greater coverage real time operation 5
6 Objectives Implement a system that will: monitor traffic conditions in real time detect and locate queues by lane estimate travel time to the border for: cars, buses and precleared trucks other truck traffic (non precleared) inform travelers VMS other means 6
7 Corridor 4 lane divided highway corridor ± 12 km (7.5 mi) 3 interchanges with local or secondary roads no obvious alternate route Existing static warning signs at km 2,4,6 & 8 Surveillance cameras Existing BE PREPARED TO STOP warning signs with flashers activated by loop detectors Existing roadside rest area and information centre Future Weigh Station 7
8 Design Elements Queue detection analogous to incident detection requirements automatic incident detection (AID) algorithm vehicle detection stations (VDS) over ± 6 km (4 mi) of corridor 8
9 Design Elements Travel time calculation various techniques available, including monitoring of individual vehicles (cell phone vehicle probes, transponder or license plate recognition) VDS more than adequate for travel time estimation result based on short link average speeds 9
10 Design Elements Detection technologies considered non intrusive technologies considered microwave radar sensors video image processing Traveler information in the corridor: variable message signs (full matrix or hybrid) short range radio broadcasting (HAR) elsewhere: Montreal s FTMS elsewhere: 10
11 General System Architecture VDS VDS VDS VDS Data Processing Corridor VMS Montreal TMC Corridor VMS HAR Network VMS Internet Legend Hydro Québec Autonomous Power Source (ex. Solar) Communication Link (wired or wireless) VDS = Vehicle Detection Station VMS = Variable Message Sign HAR = Highway Advisory Radio Other 11
12 Functional Requirements Data collection for: incident detection algorithms travel time calculation algorithms traffic and operations data base archiving Data processing for: queue existence and location travel time estimations and display intervention scenarios for traffic controllers 12
13 Detection Non-intrusive vehicle detector microwave radar Functional req.: data collection: speed occupancy volume multi-lane lane sensor all weather performance 13
14 Data Processing and Analysis Type and configuration industrial based application software (SCADA) client/server architecture Functional requirements validate raw data apply one or more incident detection algorithms compute travel time provide event reporting perform overall system monitoring perform data archiving activities (SQL) 14
15 Traveller Information Options variable message signs internet HAR other cell phones PDA s etc. 15
16 Traveller Information Priority is safety need to reach 100% of drivers roadside signing Variable nature of conditions need for real time operation need for variable message signs Particular context of border area unpredictability of congestion two groups of users 16
17 Traveller Information Issues related to signs nature of the message (recognition by drivers) appropriate selection of key words length of message targeting the two groups type of sign full matrix vs. hybrid VMS location (interval and position w.r.t. roadway) location 17
18 Type of VMS Full matrix flexibility high cost Hybrid less costly less flexibility CONGESTION 3,5 KM VOIE DE DROITE DOUANE CAMIONS AUTRES Congestion 3,5 8 KM 25 min 7 min Préparez-vous à arrêter Douane camions autres km 8 km 25 min 7 min 18
19 Position of VMS Signs Roadside lower cost potential visibility problems CONGESTION 3,5 KM Message VOIE DE DROITE CAMIONS 1 DOUANE AUTRES 8 KM 25 min 7 min CONGESTION 3,5 KM Message VOIE DE DROITE CAMIONS 2 DOUANE AUTRES 8 KM 25 min 7 min Overhead higher cost good visibility under all conditions CONGESTION 3,5 KM Message VOIE DE DROITE CAMIONS 1 DOUANE AUTRES 8 KM 25 min 7 min CONGESTION 3,5 KM Message VOIE DE DROITE CAMIONS 2 DOUANE AUTRES 8 KM 25 min 7 min 19
20 Telecommunication Wireless frequency hopping spread spectrum broadband (802.11) cellular Wired twisted pair T1 fibre optic 20
21 Power Autonomous solar panels deep cycle batteries Hydro Grid 120 V RTMS Detector Unidirectional antenna Solar panels Equipment enclosure 21
22 Preliminary Design 22
23 Preliminary Estimations Description units qty unit Cost ($US) total Central Processing System global Vehicle Detection Systems ea Mobile VMS (2 units per site) ea Sub Total Engineering, integration, calibration of system (± 25 %) Total
24 References Michael De Santis LYNX Technologies Inc. Tel (514) technologies.ca Son Thu Le Transports Québec Tel (450) ext
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