City size, network structure and traffic congestion
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Recurrent congestion during increasingly extended daily peak periods is an escalating phenomenon with multidimensional impact.Congestion mitigation in highways is polarized between invasive infrastructure interventions and Intelligent Transportation System ...
Research on congestion and propagation in large urban city networks has been mainly based on microsimulations of link-level traffic dynamics. However, both the unpredictability of travel behaviors and high complexity of accurate physical modeling remain ch ...
Recent advances in traffic flow theory at the network level, namely the Macroscopic Fundamental Diagram (MFD), reveals the existence of well-defined laws of congestion dynamics at aggregated levels. The same knowledge for multimodal networks however is lim ...
It has been recently proposed and tested that traffic in large urban regions (neighbourhoods) can be modelled dynamically at an aggregate level, if the neighbourhoods are uniformly congested. By exploiting the insights and the properties of a macroscopic f ...
This contribution proposal is based on a photographic campaign I have conducted over the last years on the borders of the Paris metropolitan and more specifically on the science campus located on the agricultural plateau of Saclay. It is supplemented with ...
This research aims to verify the hypothesis that lane traffic distribution initiates traffic regimes occurrence in freeways, and in particular to unveil the inter-dependence of lane vehicle allocation and congestion formation. The developed methodological ...
Part I of the thesis investigates novel urban traffic state estimation methods utilizing probe vehicle data. Chapter 2 proposes a method to integrate the collective effect of dispersed probe data with traffic kinematic wave theory and data mining technique ...
Crowdsensing applications are increasing at a tremendous rate. In crowdsensing, mobile sensors (humans, vehicle-mounted sensors, etc.) generate streams of information that is used for inferring high-level phenomena of interest (e.g, traffic jams, air pollu ...
Traffic dynamics have been the focal point of research aiming to provide a better understanding of traffic phenomena and to be integrated in traffic management for recurrent congestion. The aim of the study is to ameliorate complex highway and/or freeway n ...
We show experimentally and by comparison with theory that during particle size-segregation in a sheared granular flow large particles rise slower in regions of many small particles and small particles sink faster in regions of many large particles. Binary ...
