西南财经大学肖峰教授学术报告
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西南财经大学肖峰教授学术报告

公布日期:2017-06-14 作者: 来源: 点击:

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西南财经大学工商管理澳门太阳游戏网站澳门太阳免费下载教授肖峰将于2017 618日到澳门太阳游戏网站澳门太阳免费下载进行访问,并举行一次学术报告。

 

学术报告
目: Experimental study of day-to-day flow dynamics
点: 土木实验四号楼六楼会议室

间: 2017618日(周日) 9:00-10:30
主讲人:肖峰

摘要:This study focuses on an interesting question that has not yet received sufficient attention in the research community: are the various day-to-day models proposed so far good enough to reflect the real-life situation, and if yes, what are their relative good performances? To answer our question, we conducted a virtual route choice experiment and collected the participants’ day-to-day route choice data, with which the existing day-to-day models are studied from the following aspects. First, the existing path-based day-to-day models in the literature are calibrated. Second, the nonlinear effects of path flows and path time differences on the route switching are investigated. Third, participants’ preferences to different paths, the variation of their sensitivity over time, and their learning behavior, are examined. Fourth, the assumption of “rational behavior adjustment process” is verified. Fifth, the prediction power of various day-to-day models is compared. Finally, various forms of Lyapunov functions used for stability analysis in the literature are researched. In this study, we adopted regression analysis to investigate the existing day-to-day models based on a virtual route choice experiment. We identified some issues (such as heterogeneity and autocorrelation) to which attentions should be paid in such qualitative research; we also observed some interesting properties of the day-to-day model that can be considered in both empirical and theoretical research. The heterogeneity and autocorrelation found in regression could be a hint for missing features in a day-to-day model. Modifying the model form can help tackle the heterogeneity and autocorrelation; however, it may deprive the key mathematical properties of a day-to-day model including steady states and stability. Alternatively, we adopted the WLS method that keeps the model forms intact. Various assumptions on participants’ route choice behaviors are examined.

 

肖峰教授简介

毕业于清华大学,获得土木工程学士学位和澳门太阳游戏网站澳门太阳免费下载工程硕士学位,并于2007英国曾任美国加州大学戴维斯分校博士后,年在香港科技大学获得澳门太阳游戏网站澳门太阳免费下载工程博士学位,Maunsell咨询澳门太阳游戏网站澳门太阳免费下载香港总部澳门太阳游戏网站澳门太阳免费下载规划师。博士后期间多次获得加州大学戴维斯分校可持续发展澳门太阳游戏网站澳门太阳免费下载研究中心基金,以及美国加州政府澳门太阳游戏网站澳门太阳免费下载部创新项目基金。现任西南财经大学工商管理澳门太阳游戏网站澳门太阳免费下载教授,大数据研究中心副主任,博士生导师。主持澳门太阳游戏网站澳门太阳免费下载自然科学基金委优秀青年基金等多项澳门太阳游戏网站澳门太阳免费下载和省部级课题,四川省青年百人计划获得者。研究方向包括人工智能算法与澳门太阳游戏网站澳门太阳免费下载数据挖掘、澳门太阳游戏网站澳门太阳免费下载网络建模和优化、道路拥挤收费、多模式综合澳门太阳游戏网站澳门太阳免费下载系统研究、智能澳门太阳游戏网站澳门太阳免费下载系统等。在澳门太阳游戏网站澳门太阳免费下载及管理科学研究领域国际著名期刊和会议如Transportation ScienceTransportation Research Part ABCISTTT等发表SCIEI检索论文20余篇。

 

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