Reporter Topic:Trip-Based Model for City-Scale Traffic Simulation: A Case Study on San Francisco
Reporter: Dr. Bingyu Zhao, University of California, Berkeley
Time:15:30, July.31, 2019
Location:Conference Room 8319, Department of Engineering
Traﬃc simulation is a powerful tool to understand the performance of the transportation system under various normal operation and disaster evacuation scenarios. In the ﬁrst part of this talk, I will present a trip-based city-scale traﬃc simulation built for the city of San Francisco. The model features a detailed road network obtained from the OpenStreetMap and hour-long simulation time step to capture realistic variations in traﬃc conditions. The travel demand data are inferred from the Uber/Lyft pickup and drop-oﬀ counts published by the local transportation authorities. Traﬃc speed variations due to vehicle interactions are determined according to a simpliﬁed volume-delay macroscopic relationship, which is more eﬃcient than applying microscopic rules (e.g., car following) for evaluating city-scale traﬃc conditions. Preliminary validation of the results is conducted by comparing its results with a published model. Overall, the simulation has been demonstrated to run eﬃciently and produce reliable results. Then in the second part of this talk, a few ongoing projects based on the above traﬃc simulation tool will be presented, including applications in disaster evacuation, multi-infrastructure interaction and emission/pollution evaluation. The city-scale traﬃc simulation, together with its planned future improvements, is expected to greatly facilitate the policy testing and operational/emergency planning eﬀorts on urban developments.