Intersections are at the core of congestion in urban areas. After the end of the Second World
War, the problem of intersection management has benefited from a growing body of …

This paper addresses a vehicle sequencing problem for adjacent intersections under the
framework of Autonomous Intersection Management (AIM). In the context of AIM …

The urban road traffic congestion is becoming a serious problem. The number of vehicles
waiting to be processed at the intersection is rising sharply with the increase of the traffic …

This paper proposes a routing scheme for connecting urban vehicular networks to the IPv6-
based internet. In this scheme, the architecture based on vehicular domains is proposed to …

This study addresses the intricate challenges of urban traffic congestion by presenting a
novel Multi-Agent Reinforcement Learning (MARL) approach. In response to the critical …

This paper addresses the problem of scheduling autonomous vehicles to traverse several
adjacent intersections with the consideration of Vehicle to Infrastructure (V2I) communication …

Allocating time for vehicles arriving at a general conflict point to pass without collision is a
common problem in traffic operations at various facilities, such as intersections, work-zones …

This paper proposes a seamless mobility handover scheme (SMH) for IPv6 over low power
wireless personal area networks wireless sensor networks. In SMH, the routing of the control …

In this paper, we study the complexity of an autonomous vehicle sequencing problem under
the framework of Autonomous Intersection Management (AIM). Since the objective is to …

Dans ce mémoire de thèse, nous avons étudié le problème de régulation du trafic en
considérant les nouvelles technologies dans le cadre des Systèmes de Transport Intelligent …