东大交院云论坛曁 “阡陌交通、中西交融”交通工程大师论坛第五讲即将开讲!
本场讲座将由西南财经大学工商管理学院肖峰教授带来。
肖峰教授毕业于清华大学,获得土木工程学士学位和交通工程硕士学位,并于香港科技大学获得交通工程博士学位,曾任美国加州大学戴维斯分校博士后,英国Maunsell咨询公司香港总部交通规划师。现任西南财经大学大数据研究院副院长,工商管理学院教授。教育部长江学者青年学者,国家自然科学基金优秀青年基金获得者,四川省百人计划特聘教授。研究方向包括人工智能算法与交通数据挖掘、交通网络建模和优化、道路拥挤收费、多模式综合交通系统研究、智能交通系统等。在交通及管理科学研究领域国际著名期刊和会议如Transportation Science, TransportationResearch Part A、B、C、D,ISTTT等发表论文40余篇。
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肖教授您好,请问通过这次讲座您希望我们能得到哪些收获呢?
云论坛
肖峰
This lectures focuses how advanced traveler information affects the stability of the day-to-day flow evolution of a transportation system. Two scenarios are investigated regarding the types of information provided, where one type is the historical travel time and the other the forecasted travel time. Given the information, travelers are assumed to form their own perception/prediction on travel time and further choose the routes. The day-to-day dynamics under the two above-mentioned scenarios are formulated using both discrete-time and continuous-time models, and their respective local stability is analyzed. Findings from the discrete-time and continuous-time models are compared, which show that: (i) the discrete-time models behave in a more complex fashion than the continuous-time models, and (ii) the conclusions drawn from the discrete-time modeling and continuous-time modeling can be consistent, different or contradictory, which depends on the system parameters, network structure, the travel time functions, and the route choice probability functions.
参会方式
受疫情影响,东大交院云论坛采用腾讯会议的方式进行。
会议时间:2020/10/19 15:00-17:00
线下会议地点:交通学院三楼322会议室
线上参会方式:腾讯会议 ID: 856 926 637
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