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Optimisation et intégration de la mobilité partagée dans les systèmes de transport multimodaux

Kamel Aissat 1 
1 OPTIMIST - OPTImisation Methods for Integrated SysTems
LORIA - NSS - Department of Networks, Systems and Services
Abstract : The travelling is a fundamental part of everyday life. The continuous expansion of urban areas combined with the population increasing and the improvement of life standards increases the need of mobility and the use of private cars. Furthermore, the majority of public transportations are subject to rules lacking of flexibility and rarely taking into account the dynamic context. The attractiveness of public transportation is therefore reduced and, as a consequence, its financial support, resulting in a further deterioration of the public services quality and flexibility. Therefore, the majority of users still use their own vehicles. The number of vehicles is continuously increasing on road networks causing important phenomena of congestion, high fuel consumption and emissions of greenhouse gases, time loss. This unpleasant situation forces communities to consider alternative solutions for the mobility such as ride-sharing, an interesting alternative to solo car use. The overall objective of this thesis is to propose new travel systems for users through the introduction of optimization models for shared mobility (ride-sharing and taxi-sharing) and the combination of shared mobility and public transportation. The computational experiments are carried out on real road networks and real data. Our numerical results show the effectiveness of our approach, which improves the quality of service compared to the traditional systems in terms of cost and flexibility. The running time remains reasonable to allow using our framework in real-time transportation applications.
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Submitted on : Friday, March 30, 2018 - 9:56:42 AM
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Kamel Aissat. Optimisation et intégration de la mobilité partagée dans les systèmes de transport multimodaux. Autre [cs.OH]. Université de Lorraine, 2016. Français. ⟨NNT : 2016LORR0074⟩. ⟨tel-01754661⟩



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