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Méthodes et outils pour la conception de Systèmes de Transport Intelligents Coopératifs

Abstract : The car is the most used mode of transport in Europe and North America. Today, it is increasingly secure thanks to driver assistance systems. However, it is still the largest share of road accidents in France, 90% of which are caused by humans. From 2020, new types of vehicles will appear on the road : they are vehicles whose decision will no longer depend only on the human driver, commonly called autonomous vehicles. To design such systems, three main requirements must be respected at the same time : the safety (respect of traffic laws), the efficiency (go as fast as possible) and the comfort (not to feel in danger in the vehicle). In addition to imagine a vehicle where only on-board sensors provide the necessary information to drive, one can add the ability to communicate with other vehicles or the road infrastructure. This last point have to take into account a fourth requirement, courtesy (does not have a negative impact on surrounding vehicles). It can also help to manage a similar situation where vehicles driven by human beings and autonomous vehicles will be in the same environment. To study these behaviors, computer simulation can be a good solution to set up a range of possible scenarios in different environments. However, this imposes a level of abstraction that can affect the level of realism of the model. In this PhD thesis, we defined methods and tools to define a methodology for designing Cooperative Intelligent Transport Systems. From a vehicle model, we have shown that we can simulate it and then formally check it. From the model obtained, compatibility with a more realistic simulator is ensured. In addition, based on a simulation tool, we have implemented a cooperation protocol that allows vehicles to adapt more easily to current road environments.
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Submitted on : Wednesday, February 20, 2019 - 2:47:10 PM
Last modification on : Friday, October 23, 2020 - 4:42:15 PM


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Jérémy Sobieraj. Méthodes et outils pour la conception de Systèmes de Transport Intelligents Coopératifs. Système multi-agents [cs.MA]. Université Paris-Saclay; Université d'Evry-Val-d'Essonne, 2018. Français. ⟨NNT : 2018SACLE038⟩. ⟨tel-02042591⟩



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