Developing a traffic simulator for medium-size cities using MATSIM: an application to Liège


Phd Canditate : Suxia Gong
Supervisor : Prof. Mario Cools

 

Developing a traffic simulator for medium-size cities using MATSIM: an application to Liège

Abstract

The increase of travel demand and the limited infrastructure capacity cause severe economic and environmental problems and negative impacts on commuters' well-being. The research project Wal-e-CITIES-MOB aims to develop Smart Cities in the Walloon region of Belgium, focusing on the use of innovative data collection systems as a backbone to support this development. It is based on a combination between IoT and transport modeling to deliver user-friendly real-time information about the best modes/routes to be adopted. Specifically, the thesis is dedicated to developing a traffic simulator for medium-sized cities using MATSim and deploying an application to Walloon cities. The research explicitly takes into account the accumulation of data through means of ubiquitous sensor networks. The goals include: a) develop an essential agent-based traffic simulator in MATSim, based on disaggregated data provided by private transport; b) set up an advanced traffic model including the disaggregated data provided by public transport and shared mobility specified in MaaS (Mobility as a Service); c) assess the effects of data provided by different mobility services on the overall urban mobility.

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