1. 1 Bidoura Khondaker MASc. (Transportation Engg), University of British Columbia, Vancouver. PhD candidate (Transportation Engg.), University of Calgary.

2.  NSERC (Natural Science and Engineering Research Council of Canada)  Industry Sponsor: Stantec 2

3.  ITS solution : Dynamic change of posted speed limit wrt to changing traffic condition.  Utilize traffic speed and volume detection, weather information technology to determine appropriate speeds. 3

4. 4 Work ZonesCongestion Bad Weather Accident

5. The phenomena “Capacity Drop”: 5 Outflow before onset of congestion > Outflow when congestion occurs at bottleneck.

6.  Main Idea: Limiting Inflow Temporarily. 6 Default speed limit=100 kmph

7.  Limit inflow temporarily  Reduce speed variability  Increase safety  Reduce fuel consumption  Reduce Co2 emission  More efficient use of roadway  Less travel time 7

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9.  Study Area 9 Figure : Deerfoot Trail

10. 10 Surveillance System Traffic State: Speed and Occupancy Short Term Traffic Prediction Model: Predicted Traffic Volume, Speed and Densities. Non-recurrent congestion: Incident Work zone Optimizing speed limit values Control Action: Optimum Speed Limits are implemented Weather Information, Roadway conditions System should be proactive!!

11. 11 1. Detector : Need extensive coverage Expensive!!! Provides speed information in the vicinity. 2. Probe Vehicle: GPS enabled device Low cost Excellent coverage

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13. Multi-Criteria Objective Function  Minimizing Total Travel Time  Minimizing Fuel consumption and  Minimizing C02 Emission 13

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15.  Microscopic, time-step traffic simulation model  Can simulate a multimodal world – Bicycles – Pedestrians – Cars/trucks – Light rail 15 Transit Signal Priority Interaction with motorized vehicle Multimodal

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17. 17 3 km 2 km 1 km 471013 16 19 Scenerio 1 Scenerio 2 Scenerio 3 Default speed limit = 100 km/hr 2 km 1 km 47101316 60 70 80 500 m detectors

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20. 20 Scenario 1 Scenario 2 Scenario 3

21. 21 Deerfoot and 64th Deerfoot and Mcknight

22. 22 Driver’s compliance/Enforcement modeling Control Speed variable: (1+  )*V control  = compliance rate of driver’s V control = {60,70,80,90,100 kmph)

23. 23 Another promising area:  Incorporation of Differential Speed Limit (DSL) with VSL.  The possible outcome will be explored by introducing DSL for different lanes where the limit on the outside lanes could be higher than the inside lanes, where traffic joins and exits.

24. 24 Sensitivity Analysis: Finally, the performance of proposed framework will be rigorously evaluated using:  Varying congestion levels (normal, moderate and heavy congestion).  Different frequency of incident occurrence such as weather conditions, collisions (major, minor etc).

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26. Questions/Comments/Suggestions?????? 26