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Modélisation dynamique du trafic et transport de marchandises en ville : vers une approche combinée

Abstract : This thesis aims to modeling the interactions between the urban freight and the traffic dynamic. Although both are intertwined, they have rarely been studied considering a combined approach. Specifically, the main purpose is to analyze the impacts of the urban freight on traffic states, and vice versa. This research is focused on two axes: the urban freight considering (i) the delivery and (ii) the delivery route scales, and two traffic dynamic scales describing (iii) a day and (iv) a set of days. (i) The delivery of goods carried by vehicles can produce traffic congestion, noise and air pollution. Nevertheless, the transport of goods is essential for the economy of cities. The double parking is a common way for delivery trucks. This illegal parking reduces the vehicle capacity of the transportation network. A sensitivity analysis in traffic microscopic simulation model for urban freight highlight a significant decreasing of the traffic conditions on an urban corridor considering a low number of double parking. These local and temporal phenomena are essential to be integrated into the traffic simulation in order to better study the overall performance of the transportation system. (ii) The delivery route planner can be improved by integrating traffic conditions. The route optimization algorithms are based on quality and quantity of given data available. We investigate the influence of several levels of granularity on traffic information data for the optimal route scheduling. Moreover, the travel time estimated by algorithms and the effective travel time estimated by a microscopic simulation are compared. In addition, the expected traffic conditions can be subject to variations. We propose a methodology of delivery route planner integrating the uncertainty of the traffic dynamics. (iii) At the city level, the traffic conditions are varied through space and time. A partitioning of urban transportation networks makes possible to identify homogeneous zones. A zone is defined by a set of connected links with similar traffic conditions. We proposed a spatial and temporal approach to define the 3D zones. The idea is to summarize the majority of the traffic dynamics of a given city using only a few information: the mean speed per spatial and temporal zone. Two fundamentally different methods of clustering are compared and evaluated. The study case is the Amsterdam network with its real-world traffic data. (iv) From day to day, the traffic dynamic can be similar. We proposed a methodology grouping days by their similar congestion patterns. The existence of a regularity through daily patterns are introduced by consensual speed map. A consensual speed map is the reference day representing a group of days. Our model is validated by using the effective travel time and estimated ones by the consensual speed maps. Numerous applications can be refined from a couple of consensual speed maps, as the route guidance and delivery route planning.
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Submitted on : Monday, January 15, 2018 - 12:17:29 PM
Last modification on : Friday, July 17, 2020 - 5:09:05 PM
Long-term archiving on: : Tuesday, May 8, 2018 - 12:23:42 AM


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  • HAL Id : tel-01684233, version 1



Clélia Lopez. Modélisation dynamique du trafic et transport de marchandises en ville : vers une approche combinée. Infrastructures de transport. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSET009⟩. ⟨tel-01684233⟩



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