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首页> 外文期刊>Complex & Intelligent Systems >Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method
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Distributed control system architecture for balancing and stabilizing traffic in the network of multiple autonomous intersections using feedback consensus and route assignment method

机译：使用反馈共识和路径分配方法在多个自治交叉路口网络中平衡和稳定交通的分布式控制系统架构

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Autonomous and intelligent system show a remarkable step in urban traffic management. Autonomous Intersection Management (AIM) is an outstanding example of using an autonomous vehicle and wireless communication technology. The traffic performance of a single AIM system has been proved in many works however, traffic in the network of multiple AIMs is waiting for an implementation. Coordination of traffic between intersections in the network is an important step of managing the overall networked traffic throughput. The authors modeled the traffic network with the multi-agents concept and used the discrete consensus algorithm to coordinate between autonomous agents and implemented the rerouting algorithm in order to distribute the excessive traffics to neighbored intersections with the optimal condition. Our target is to have a balance traffic in each intersection and reaches the equilibrium where the stability has been not compromised. The results show that reaching consensus condition will bring the networked traffic to an equilibrium state where a peak traffic will not be happened. In addition, this method shows that when traffic in a network reached consensus, it will also converge to the Nash equilibrium in the finite time.
机译：自治和智能系统在城市交通管理中显示出了显着的进步。自主交叉口管理（AIM）是使用自主车辆和无线通信技术的杰出示例。单个AIM系统的流量性能已在许多工作中得到证明，但是，多个AIM网络中的流量正在等待实现。网络中交叉路口之间的交通协调是管理整体网络交通吞吐量的重要步骤。作者使用多智能体概念对交通网络进行建模，并使用离散共识算法在自治智能体之间进行协调，并实施重路由算法，以将过多的交通以最优条件分配给相邻的交叉路口。我们的目标是在每个十字路口保持平衡交通，并在不影响稳定性的前提下达到平衡。结果表明，达到共识条件将使网络流量达到不会出现峰值流量的平衡状态。另外，该方法表明，当网络中的流量达到共识时，它还将在有限时间内收敛到Nash平衡。

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