讲座题目：Activity-travel scheduling and travel preferences in multi-modal transport networks.
主讲人：Dr Feixiong LIAO，荷兰埃因霍温理工大学
时间：2016年12月28日（星期三），16:30
地点：新主楼A716
摘要：
It has been widely recognized that observed activity-travel patterns (ATPs) are the results of an underlying scheduling process that involves the planning and execution of activities in time and space. Activity-travel scheduling has become the core of many activity-based travel demand models. Given the high choice dimensionalities and demand-supply complexities in the scheduling process, a one-fits-all scheduling approach cannot be found in the literature. The multi-state supernetwork approach has been advanced recently for individual activity-travel scheduling based on an integrated and detailed representation of the land-use transport system. This talk will discuss the individual activity-travel scheduling in space-time multi-state supernetworks, which generates the best worst-case run-time complexity. In addition, this talk will discuss the estimation of individual travel preferences in multi-modal transport networks in Beijing, which has been done jointly with researchers in Beihang University..
简介：
Dr. Feixiong Liao is an assistant professor at the Urban Planning Group of Eindhoven University of Technology (TU/e, The Netherlands) since February, 2016. He received his doctorate degree (cum laude, less than 5% nationwide) at the same group in 2013. After completing his Ph.D. study, he became a post-doc researcher at the same group and conducted research on travel behavior modeling and dynamic activity-travel assignment. In collaboration with Beihang University, the post-doc research attempted to solve a vital shortcoming of the existing travel demand forecasting systems by coupling activity-based modeling and dynamic traffic assignment in the multi-state supernetworks, which have, otherwise, been treated separately in the literature. His current research activities are focusing on developing a large-scale model system of urban transportation planning. During his talk, he will summarize his past research and discuss the recent developments and prospects of the multi-state supernetwork approach in the activity-based modeling framework.
经管学院科研办
2016-12-26
