A comparison of approaches for platooning management

There are many concepts, which try to solve the current issues for vehicular traffic. The scope of this work is on platooning. Platooning can be shortly explained as vehicles that travel on highways in closely spaced groups. The platooning concept can help to improve the current traffic situation. The objective of this thesis is to create two classification frameworks: first, a framework for platooning approaches and second, a framework for platooning algorithms. Both frameworks do not only show both strengths and weaknesses but also enable researchers to evaluate and compare the approaches/algorithms. This evaluation tries to provide an outlook whether the approaches and algorithms examined are ready for implementation in real cases or if they lack some important considerations

Collaborative driving system using teamwork for platoon formations

Collaborative driving is a growing domain of Intelligent Transportation Systems (ITS) that makes use of communications to autonomously guide cooperative vehicles on an Automated Highway System (AHS). In this paper,weaddressthisissuebyusingaplatoonofcarsconsidered as more or less autonomous software agents. To do that, we propose a hierarchical architecture based on three layers (guidance layer, management layer and traffic control layer) which can be used to develop centralized platoons (where a head vehicle-agent coordinates other vehicle-agents by applying its coordination rule) and decentralized platoons (where the platoon is considered as a team of vehicle-agents trying to maintain the platoon). The latter decentralized model will mainly consider a teamwork related model using architectures like STEAM. These different coordination models will be compared using simulation scenarios to provide arguments for and against each approach. 1

Automated highway systems : platoons of vehicles viewed as a multiagent system

Tableau d'honneur de la Faculté des études supérieures et postdoctorales, 2005-2006La conduite collaborative est un domaine lié aux systèmes de transport intelligents, qui utilise les communications pour guider de façon autonome des véhicules coopératifs sur une autoroute automatisée. Depuis les dernières années, différentes architectures de véhicules automatisés ont été proposées, mais la plupart d’entre elles n’ont pas, ou presque pas, attaqué le problème de communication inter véhicules. À l’intérieur de ce mémoire, nous nous attaquons au problème de la conduite collaborative en utilisant un peloton de voitures conduites par des agents logiciels plus ou moins autonomes, interagissant dans un même environnement multi-agents: une autoroute automatisée. Pour ce faire, nous proposons une architecture hiérarchique d’agents conducteurs de voitures, se basant sur trois couches (couche de guidance, couche de management et couche de contrôle du trafic). Cette architecture peut être utilisée pour développer un peloton centralisé, où un agent conducteur de tête coordonne les autres avec des règles strictes, et un peloton décentralisé, où le peloton est vu comme une équipe d’agents conducteurs ayant le même niveau d’autonomie et essayant de maintenir le peloton stable.Collaborative driving is a growing domain of Intelligent Transportation Systems (ITS) that makes use of communications to autonomously guide cooperative vehicles on an Automated Highway System (AHS). For the past decade, different architectures of automated vehicles have been proposed, but most of them did not or barely addressed the inter-vehicle communication problem. In this thesis, we address the collaborative driving problem by using a platoon of cars driven by more or less autonomous software agents interacting in a Multiagent System (MAS) environment: the automated highway. To achieve this, we propose a hierarchical driving agent architecture based on three layers (guidance layer, management layer and traffic control layer). This architecture can be used to develop centralized platoons, where the driving agent of the head vehicle coordinates other driving agents by applying strict rules, and decentralized platoons, where the platoon is considered as a team of driving agents with a similar degree of autonomy, trying to maintain a stable platoon