De l'impact d'une décision locale et autonome sur les systèmes de transport intelligent à différentes échelles

Marie-Ange Lebre 1
1 DYNAMID - Dynamic Software and Distributed Systems
CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : In this thesis we present vehicular applications across different scales: from small scale that allows real tests of communication and services; to larger scales that include more constraints but allowing simulations on the entire network. In this context, we highlight the importance of real data and real urban topology in order to properly interpret the results of simulations. We describe different services using V2V and V2I communication. In each of them we do not pretend to take control of the vehicle, the driver is present in his vehicle, our goal is to show the potential of communication through services taking into account the difficulties outlined above. In the small scale, we focus on a service with a traffic light that improves travel times, waiting times and CO2 and fuel consumption. The medium scale is a roundabout, it allows, through a decentralized algorithm, to improve the same parameters. It also shows that with a simple and decentralized decision-making process, the system is robust to packet loss, density, human behavior or equipment rate. Finally on the scale of a city, we show that local and decentralized decisions, with only a partial access to information in the network, lead to results close to centralized solutions. The amount of data in the network is greatly reduced. We also test the response of these systems in case of significant disruption in the network such as roadworks, terrorist attack or natural disaster. Models, allowing local decision thanks to information delivered around the vehicle, show their potential whatsoever with the V2I communication or V2V.
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Marie-Ange Lebre. De l'impact d'une décision locale et autonome sur les systèmes de transport intelligent à différentes échelles. Réseaux et télécommunications [cs.NI]. Université de Lyon, 2016. Français. ⟨NNT : 2016LYSEI007⟩. ⟨tel-01347351v2⟩

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