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法国里昂大学Ludovic LECLERCQ教授讲座通知

发布时间: 2018/05/23 10:02:52     点击次数:次   打印本页

 

【北航经管学术论坛】

 

法国里昂大学Ludovic LECLERCQ教授讲座通知

 

 

讲座题目Monitoring and Modelling Traffic at large Urban Scale: the contribution of Macroscopic Fundamental Diagrams

 

主讲人Ludovic LECLERCQ 教授,法国交通、规划和网络科技研究院(IFSTTAR),里昂大学

 

时间2018611日(星期一),10:00-11:30 am

 

地点:新主楼A716

 

邀请人:黄海军

 

                       

 

 

摘要This talk focuses on monitoring and modelling traffic dynamics at large-scale city scale based on the Macroscopic fundamental diagram (MFD). The first part is about the concept of MFD itself and the presentation of existing estimation methods using different data sources. The second part is about modelling traffic dynamics by partitioning a city in multiple aggregate reservoirs. In particular, a recent trip-based approach is presented: within a road network that defines an urban area all vehicle speeds are driven by a simple behavioral rule, the MFD, while each vehicle travel distances are individualized. This formulation overcomes some limitations of the classical accumulation-based MFD model for simulation purpose but suffers also from some limitations. A complete review of both approaches is presented to conclude that the best option is to combine them into an single hybrid approach. A simple and very efficient event-based numerical scheme for the trip-based approach is also proposed for the single reservoir problem. This scheme can be extended to tackle the multi-reservoir problem by properly defining how boundary conditions should be applied at the reservoir perimeters. This modelling framework is illustrated by addressing the problem of dynamic on-street parking search considering parking occupancy. The last part of this talk presents a new data-driven approach to capture urban traffic dynamics at large-scale. 3D speed maps that provide a quick overview of the daily traffic congestion patterns are derived from clustering link speed information. It is shown that, surprisingly, a very few consensual patterns are sufficient to capture the day-to-day congestion variability at large urban scale. This approach paves the way for very efficient real-time travel time estimation methods. An example is provided based on data collected in the city of Amsterdam.

 

 

简介Dr. Ludovic Leclercq is a Professor at IFSTTAR (The French Institute of Science and Technology devoted to Transport, Planning and Networks) and is affiliated to the University of Lyon. He received his engineering and master degrees in Civil Engineering in 1998, his PhD in 2002 and his habilitation thesis (HDR) in 2009. He is currently deputy director of the LICIT laboratory and head of a research group about traffic modeling and analysis. He served as scientific councilor for IFSTTAR in the field of Analysis and innovation for sustainable and responsible transport and mobility between 2009 and 2015. His research interests correspond to multiscale and multimodal dynamic traffic modeling and the related environmental externalities. Smart cities, mobility as a service, sustainable and reliable transportation systems are some of the applications his researches are targeting. He is a member of the editorial board of Transportation Research part B, CACAIE, and the Journal of Intelligent and Connected Vehicles, the committee Traffic Flow Theory and Characteristics of the TRB, the international advisory committee of ISTTT and is associate editor of Transportmetrica B and the Journal of Advanced Transportation. He has co-authored 56 publications in top peer-reviewed journals, has supervised 7 PhD and is currently supervising 6 PhD students. In 2015, he was awarded the most prestigious research grant in Europe, i.e. an ERC consolidator grant in Social Science and Humanities.

 

 

经管学院科研办

 

2018-05-23