GuilhemMariotte


PhD Student-Civil Engineer

Traffic modeling for large-scale transportation systems

The aim of this PhD thesis is to develop a simulation tool to analyze traffic flow and congestion propagation in large metropolitan areas. This tool will be based on an innovative hybrid modeling approach which can both integrate and combine different types of simulation frameworks. The "hybrid" aspect of this approach can be seen at two levels: First, in the description of interfaces between different scales of traffic flow representation (microscopic, mesoscopic and macroscopic); And then in the accounting for multimodality at exchange nodes between several transportation modes.

My first work deals primarily with the development of a macroscopic modeling framework for road networks, which is based on the very novel Macroscopic Fundamental Diagram (MFD) concept. This modeling approach will be validated through different comparisons with other existing simulation tools (both microscopic and mesoscopic), and traffic data from Lyon's urban area (France).

PhD supervisor : Prof. Ludovic Leclercq (Lyon, France)

The MAGnUM Project

This thesis is supported by a European Research Council (ERC) grant entitled MAGnUM: Multiscale and Multimodal Traffic Modelling Approach for Sustainable Management of Urban Mobility. This project has received funding from the European Commission under the Horizon 2020 Research and Innovation Programme.

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LICIT lab: ENTPE-IFSTTAR joint research laboratory

I am working at the LICIT lab (Transport and Traffic Engineering Lab). This one is partly located at the ENTPE school (National Engineering School for State Public Works), which is affiliated to the University of Lyon (France). This laboratory was initially part of the INRETS institute (National Research Institute on Transportation and its Safety), which merged some years ago with the LCPC lab (Central Lab from École des Ponts Paris) to create the IFSTTAR institute (French Institute of Science and Technology for Transport, Development and Networks).

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