报告人：Wei-Hua Lin博士
报告题目：Towards the Interaction of Individual Vehicles and Traffic Control: A Voting-Based Approach
报告时间：星期二（12月13日） 下午2:00-4:00
报告地点：安中大楼A322
报告简介：
Vehicles, especially commercial ones, have long been utilized as probes to generate traffic information. For this research, we will take one step further to incorporate individual vehicle data into traffic control, in hope that they will gradually replace the role of the existing traffic surveillance systems as the primary source of traffic data. To prepare for such a paradigm shift, one needs to overcome some key institutional barrier, in particular, the privacy issue. A Highway Voting System (HVS) is proposed to address this issue in which drivers provide link- and/or path-based vehicle data to the traffic management system in the form of votes in exchange for possible favorable service from traffic control. The proposed HVS offers a platform that links data from individual vehicles directly with traffic control. In the system, traffic control responds to voting vehicles in a way similar to the current system responding to priority vehicles and providing the requested services accordingly. Strategies to entice drivers into voting so as to increase the market penetration level under all traffic conditions are discussed. Examples are given to demonstrate the impact of the proposed system on algorithm development and traffic control.
报告人简历：
Dr. Wei-Hua Lin is an associate professor of Systems and Industrial Engineering at the University of Arizona. He received his PhD in Civil Engineering from University of California at Berkeley in 1995. He has worked as a postdoctoral researcher at the PATH program of the University of California at Berkeley. He is the past paper review coordinator for the Intelligent Transportation Systems Committee of Transportation Research Board. He is currently the associate editor of IEEE Transaction on Intelligent Transportation Systems. He is the author/coauthor of over 70 papers. His research area covers traffic control, logistics systems analysis, and network optimization.
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联系人：王亦兵
交通工程研究所
2016年12月10日