首页> 外文期刊>Applied Intelligence >Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation
【24h】

Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation

机译:基于决策矩阵的行为,用于城市交通模拟中的主体间协调

获取原文
获取原文并翻译 | 示例

摘要

This paper describes a multi-agent coordination mechanism applied to intersection simulation situations. In a goal of urban traffic simulation, we must consider the dynamic interactions between autonomous vehicles. The field of multi-agent systems provides us some studies for such systems, in particular on the coordination mechanisms. Conflicts between vehicles (i.e. agents) are very frequent in such applications, and they may cause deadlocks, particularly at intersections such as crossroads. Our approach is based on the solving of two player games/decision matrices which characterize three basic situations. An aggregation method generalizes to n-player games for complex crossroads. The objective of this approach consists in searching basic two-player matrices for solving n-agent problems. To explain the principle, we describe our approach for a particular case of crossroad with three agents. Finally, the obtained results have been examined via a tool of road traffic simulation, ARCHISIM. We assume also that the global traffic replicates the behavior of agents in different situations.
机译:本文介绍了一种适用于路口模拟情况的多主体协调机制。在城市交通模拟的目标中,我们必须考虑自动驾驶汽车之间的动态相互作用。多主体系统领域为我们提供了一些有关此类系统的研究,特别是在协调机制方面。在这种应用中,车辆(即代理人)之间的冲突非常频繁,并且它们可能导致死锁,尤其是在十字路口等交叉路口。我们的方法基于两个代表三种基本情况的玩家游戏/决策矩阵的求解。对于复杂的十字路口,聚合方法可以推广到n玩家游戏。该方法的目的在于搜索基本的两人矩阵,以解决n代理问题。为了解释该原理,我们描述了针对具有三个代理的十字路口的特定案例的方法。最后,通过道路交通模拟工具ARCHISIM对获得的结果进行了检验。我们还假设全局流量会复制不同情况下代理的行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号