10月19日下午15:00，我們有幸邀請到了西南財經大學的肖峰教授為大家帶來「Day-to-day dynamics with advanced traveler information」學術報告，歡迎大家參會交流。線下會議地點在交通學院三樓322會議室，線上騰訊會議同步進行。
肖峰教授畢業於清華大學，獲得土木工程學士學位和交通工程碩士學位，並於香港科技大學獲得交通工程博士學位，曾任美國加州大學戴維斯分校博士後，英國Maunsell諮詢公司香港總部交通規劃師。現任西南財經大學大數據研究院副院長，工商管理學院教授。教育部長江學者青年學者，國家自然科學基金優秀青年基金獲得者，四川省百人計劃特聘教授。研究方向包括人工智慧算法與交通數據挖掘、交通網絡建模和優化、道路擁擠收費、多模式綜合交通系統研究、智能交通系統等。在交通及管理科學研究領域國際著名期刊和會議如Transportation Science，TransportationResearch Part A、B、C、D，ISTTT等發表論文40餘篇。
This paper studies 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.本次講座為線上線下同步進行。
題目：Day-to-day dynamics with advanced traveler information會議時間：2020/10/19 15:00
線下會議地點：交通學院三樓322會議室
線上參會方式：騰訊會議 ID: 856 926 637
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