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Active Traffic Management using Macroscopic simulation

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    1. Active Traffic Management using Macroscopic simulation TOPL Research Group, UC Berkeley Presenter: Gabriel Gomes FourthAnnualTransportationModelingWorkshop April 1st, 2011

    2. TOPL Research Group

    3. Motivation Congestion!

    4. I-880S scatter plots Efficient operation = stay in the green region.

    5. Active Traffic Management (ATM)

    6. The ATM toolbox

    7. The case for macrosimulation

    8. A decision support structure for ATM

    9. Major components

    10. Simulation Model

    11. Simulation Model

    12. Simulation Model

    13. Model Calibration Use historical data to estimate the model parameters.

    14. Imputation of Missing Ramp Flows Motivation On-ramp and off-ramp flows are essential for simulation. Ramps often lack functioning detector station. A simple balance of flows approach works well in steady state conditions, but not in general. Approach Iterative procedure: run the model with ramp flow estimates and adjustments that guarantee convergence. Ill-posed problem: The solution is not unique. Some amount of guessing is unavoidable.

    15. Stochastic runs

    16. Best/worst case predictions

    17. Example: HOT lane management Changes in % traffic in HOT lane produce changes in total delay.

    18. Example I-80 W, 01/14/09 Calibration

    19. Example I-80 W, 01/14/09 Best/worst case prediction Current time 6:00 am Prediction horizon: 2 hours Uncertainty: 1% in capacity, 2% in demands

    20. Example I-80 W, 01/14/09 Best/worst case prediction

    21. Example I-80 W, 01/14/09 Best/worst case prediction

    22. Example I-80 W, 01/14/09 Best/worst case prediction

    23. Example I-80 W, 01/14/09 Accident hot spot

    24. Example I-80 W, 01/14/09 Accident hot spot Scenario: Accident takes out 2 lanes from 6:35 to 6:50

    25. Example I-80 W, 01/14/09 Accident hot spot Strategy #1: Ramp metering with queue control at .

    26. Example I-80 W, 01/14/09 Accident hot spot Strategy #2: Ramp metering with queue control at . VSL up to 3.5 miles upstream of the hot spot.

    27. Example I-80 W, 01/14/09 Accident hot spot Strategy #3: Ramp metering with queue control at . VMS detour onto I-580.

    28. Summary Macroscopic simulation, because of its simplicity and speed, offers powerful enhancements to decision support systems for ATM. Automatic model calibration and maintenance. Imputation of missing ramp flows on freeways. Robust simulation with uncertainty. Guaranteed bounds on predicted performance.