TLabseminar
本学期第一次seminar我们有幸邀请到西南交通大学的谢军副教授为大家带来“Designing Efficient Algorithms for Traffic Assignment Problems”的学术报告，欢迎大家参会交流。
谢军， 副教授，西南交通大学。Jun Xie is currently an Associate Professor in the School of Transportation and Logistics, Southwest Jiaotong University. He received his Bachelor degree from Jilin University and PhD from Tongji University. He did post-doc research in Shanghai Jiaotong University and Northwestern University from 2013 to 2017. His research focuses on modelling and algorithms of traffic and transit assignment problems. Most of his papers were published in leading international journals of transportation area, such as Transportation Research Part A/B/C/E and Transportation Science. He received the Stella Dafermos Best Paper Award by the Network Modelling Committee of TRB in 2018.
陈景旭，博士，副研究员。2011年本科毕业于东南大学交通工程专业，2017年获得交通运输工程博士学位，读博期间公派至澳大利亚Monash大学联合培养1年，博士毕业后于2018年至2020年在香港理工大学商学院从事博士后研究。2020年7月起在东南大学交通学院工作。主要研究方向包括多模式交通与物流网络建模优化、交通大数据、公共交通、智慧交通等。在国内外交通领域期刊和会议上发表学术论文近30篇，其中20余篇被SCI\SSCI期刊收录（第一作者在Transportation Research Part B、Part E等期刊发表11篇），现主持国家自然科学基金青年项目1项和江苏省自然科学基金青年项目1项，担任Transportation Research Part B、Transportation Research Part C、Transportation Research Part E、Transportation Research Part F、Transportation、European Journal of Operational Research、Sustainable Cities and Society等10余个期刊审稿人。研究成果获中国智能交通协会全国优秀博士学位论文（2018）和江苏省优秀博士学位论文（2018）。讲授课程为工程数据分析与方法（研讨）。
讲座标题：Designing Efficient Algorithms for Traffic Assignment
Problems
Abstract：The user equilibrium (UE) static traffic assignment problem (TAP) has long been used as a standard tool to predict network flows. Under mild assumptions, the UETAP can be formulated as a convex optimization program. Designing efficient solution algorithms for this problem in large regional-scale networks has been a recurring research theme in transportation science and has attracted much attention in the past decades. The recent literature observes that the development of advanced algorithms for the TAP heavily relies on the proper use of some specific topological structures. This presentation will perform an extensive analytical and numerical investigation of most known TAP algorithms by examining how they create or utilize the specific topological structures in their algorithmic design and how these strategies will affect the convergence efficiency of the algorithms. The insights obtained from these discussions might be helpful for the potential improvement of existing algorithms or the proposition of new algorithms for large-scale network equilibrium problems.
本次讲座为腾讯会议线上进行。
时间：2021/03/19 （周五） 19:00-20:30
线上参会方式：腾讯会议 ID: 953 3963 5412
