Traffic assignment algorithms and recent developments in the path-based gradient projection algorithm

发布者:王丹丹发布时间:2022-11-14浏览次数:316

江苏省应用数学(中国矿业大学)中心

卓越大讲堂

报告题目: Traffic assignment algorithms and recent developments in the path-based gradient projection algorithm

报告人:  Prof. Anthony Chen, 香港理工大学

报告时间: 2022111810:30开始

腾讯会议:793-6753-3797

 

报告摘要:The traffic assignment problem (TAP) aims to determine a traffic flow pattern by allocating the origin-destination (O-D) demand trip table to the transportation network based on some route choice principle. It is an essential and fundamental step in transportation planning and management. Hence, developing effective solution algorithms for solving TAP in large-scale transportation networks is of interest to both practice and academic research. In this seminar, I will first review the basic TAP and its associated traffic assignment algorithms used in practice and state-of-the-art research. Then I will focus on the path-based gradient projection (GP) algorithm due to its efficiency and flexibility in solving a wide range of applications in transportation. To conclude, I will provide some recent developments and new ideas for future research.

 

报告人简介:Dr. Anthony Chen is a Professor and Associate Head of the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU) in Hong Kong. Prior to joining PolyU, Dr. Chen was a Professor in the Department of Civil and Environmental Engineering and Head of the Transportation Division at Utah State University in the United States for seventeen years. Dr. Chen was a recipient of the prestigious Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF) in 2002 and the Chang Jiang Chair Professor from China from 2015 to 2017 at Tongji University. Dr. Chen is currently serving as an associate editor for Transportmetrica A: Transport ScienceNetworks and Spatial Economics, and an editorial board member of Transportation Research Part B: Methodological