Name
Abstract | ||
|---|---|---|
Vehicle collision avoidance is a promising safety approach to new transportation systems, with innovative capabilities, such as obstacle detection, vehicle collision avoidance control strategy and adaptability to different obstacles. This paper presents a Reactive Multi-agent solution to the vehicle collision avoidance control problem with a linear configuration. In our case, vehicle collision avoidance is designed as a reactive multi-agent system in which agents interact with other agents and the obstacles situated in the environment by using physics inspired behaviors. Collision avoidance stability emerges as a global result of the individual interacted agents. Vehicle avoidance control strategy stems from calculating the trajectories of the vehicle based on the decision process of the reactive multi-agent system. Furthermore, the adaptation to different kind of obstacles is made by tuning model's physical parameters. In order to assert the transition from abstract to concrete, simulations experiments have been implemented and simulations results are analyzed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICTAI.2008.134 | ICTAI (1) |
Keywords | Field | DocType |
road vehicles,reactive multiagent system,decision support,reactive multi-agent system,decision process,traffic engineering computing,vehicle collsion avoidance,agents,safety approach,transportation systems,interactive product configuration,multi-agent systems,multi-valued decision diagram,obstacle detection,vehicle collision avoidance,knowledge compilation community,road traffic,compact representation form,vehicle collision avoidance control problem,collision avoidance,simulation experiment,multi agent systems,force,multiagent systems,mathematical model,sensors,multi agent system | Situated,Computer science,Road traffic,Control engineering,Multi-agent system,Artificial intelligence,Decision process,Adaptability,Obstacle avoidance,Obstacle,Simulation,Collision,Machine learning | Conference |
Volume | ISSN | ISBN |
1 | 1082-3409 | 978-0-7695-3440-4 |
Citations | PageRank | References |
6 | 0.50 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sibo Yang | 1 | 15 | 2.04 |
| Franck Gechter | 2 | 155 | 26.99 |
| Abderrafiaa Koukam | 3 | 257 | 32.99 |