报告题目：Trip-Based Model for City-Scale Traffic Simulation: A Case Study on San Francisco

报告人：赵冰玉 博士，加州大学伯克利分校

邀请人：曹子君 教授

时  间：2019年7月31日（星期三）下午3:30—5:00

地  点：水利水电学院八教8319会议室

报告简介：  

     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.

     欢迎相关专业教师和研究生的光临！