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Presentation by: Sabbir Saiyed, P.Eng. Program Manager, York Region & Dr. J. A. Stewart

Assessment of Urban Transportation Networks by integrating Transportation Planning and Operational Methods /Tools. Presentation by: Sabbir Saiyed, P.Eng. Program Manager, York Region & Dr. J. A. Stewart Dean, Engineering, RMC.

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Presentation by: Sabbir Saiyed, P.Eng. Program Manager, York Region & Dr. J. A. Stewart

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  1. Assessment of Urban Transportation Networks by integrating Transportation Planning and Operational Methods /Tools Presentation by: Sabbir Saiyed, P.Eng. Program Manager, York Region & Dr. J. A. Stewart Dean, Engineering, RMC 12th TRB Transportation Planning Application Conference Houston, Texas

  2. Overview • Introduction • Study area • Regional travel demand forecasting model • Transportation networks and data • Types of signal control • Experimental methodology • Experimental results and discussions • Conclusions

  3. Introduction • Transportation – vital service • Traffic congestion • Budget constraints • Performance of traffic systems • Integration – planning/operational analysis • Use of micro-simulation

  4. Study area is part of Greater Toronto Area….

  5. Structure of Regional Model Trip Generation External Trips Airport Trips TripDistribution Apply Growth Factors Apply Growth Factors Modal Split Auto Occupancy Trip Assignment

  6. Transportation Network and Data • Transportation network - auto and transit • Transportation data source: • Cordon count • Turning movement counts • O-D survey • Data issues especially for micro-simulation

  7. Transportation Tomorrow Survey (TTS) • Largest O-D survey in Canada • Partnership between 21 municipalities, transit agencies and Province • Collected every 5-year • Household trip data • Geocoding • Correlation with census data

  8. Types of Signal Control • There are three types of signal control • Pre-timed • Actuated • Adaptive • Performance of traffic signal • Cycle length • Offsets • Phases Transportation network analysis has been conducted for three types of signal controls

  9. Less traffic on side street yet Main Street traffic facing red signal

  10. Transportation Software Packages • Emme/2 • TRANSCAD • Synchro • Sim-Traffic • INTEGRATION Data Tsunami

  11. INTEGRATION Model • Developed by late Dr. M. Van Aerde • Mesoscopic model • Dynamic traffic assignment • Vehicle probe • Uses O-D data INTEGRATION model has been used to asses performance of traffic adaptive control

  12. Experimental Design • Real transportation network • Experiment conducted in stages • Small network (9 intersections) • Medium network (over 125 intersections) • Downtown network (medium size city) • Current focus on medium network

  13. Arterial Network • Large arterial network • Over 125 intersections • Several unsignalized intersections • Congested conditions during peak periods

  14. Experimental Methodology • Development of auto and transit network • Extraction of O-D matrix from TTS Survey • O-D matrix estimation • Trip assignments • Data validation • Generation of turning movements • Data files for micro-simulation

  15. Experimental MethodologyProcess

  16. Optimization improves signal delays

  17. Total number of stops are lower for traffic adaptive signal control

  18. Shorter cycle lengths produces better results

  19. Actuated signal shows similar results; however delays are lower than pre-timed signal

  20. Signal delays are lower at lower mid-block traffic

  21. Actuated signal shows similar results; however delays are lower than pre-timed signal

  22. Conclusions • The experiment demonstrates that Synchro, Sim-Traffic and INTEGRATION could be used to analyze three types of traffic signal controls • Optimization improves the performance of the arterial network • Shorter cycle lengths produces better results compared to longer cycle lengths. • Actuated signal addresses demands of mid-block traffic better than pre-timed signal

  23. Thank you

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