Learn More
In this paper, we study a theoretical traffic control problem with the consideration of vehicle-to-infrastructure communications. During the control process, vehicles approaching the intersection inform the control center their data, then the control center authorizes each vehicle a precise time to cross intersection by analyzing the received information.(More)
Hammamet-Tunisia " Evaluation and optimization of innovative production systems of goods and services " ABSTRACT: In this paper, we study a novel vehicle sequencing algorithm for an isolated intersection with a new control method. The control method is based on the utilization of Vehicular Infrastructure Integration and the consideration that each vehicle(More)
The green light optimal speed advisory (GLOSA) is one of the most important applications in the intelligent transportation systems. The existing GLOSA methods can be used to calculate the advisory speed curve, by which the vehicle can arrive at the intersection in green phase, for the purpose of reducing the trip time and fuel consumption. However, it can(More)
This paper addresses a vehicle sequencing problem for adjacent intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, autonomous vehicles are considered to be independent individuals and the traffic control aims at deciding on an efficient vehicle passing sequence. Since there are considerable vehicle passing(More)
 This paper addresses the problem of scheduling autonomous vehicles to traverse several adjacent intersections with the consideration of Vehicle to Infrastructure (V2I) communication technology. Due to the combinatorial nature of the control strategy, we decentralize the problem into several isolated intersection control problems and model each of them as(More)
In this paper, a new method based on decomposition of Markov Decision Process (MDP) for traffic control at isolated intersection is proposed. The conflicting traffic flows should be grouped into different combinations which can occupy the conflict zone concurrently. Thus, for purpose of traffic delay reduction, the optimal policy of signal sequence and(More)
As the development of telecommunication technology and miniaturization technology, intelligent vehicles equipped with microprocessor devices become more and more popular. This encourages researchers to propose new strategies to efficiently improve the traffic situation, especially at intersections. In this study, we present a novel vehicle sequencing(More)
In this paper, we mainly focus on a comparison of three types of dynamic programming based algorithms for optimal and near-optimal solutions of traffic signal control problem. The algorithms are backward dynamic programming (BDP), forward dynamic programming (FDP), and approximate dynamic programming (ADP). The traffic signal control model at isolated(More)