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Internet of agents framework for connected vehicles: A case study on distributed traffic control system

机译:互联车辆代理互联网框架:以分布式交通控制系统为例

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This study focuses on the distributed traffic control system by inspiration of advanced connected vehicle technology. In this regard, we introduce an Internet of Agents (IoA) framework for connected vehicles where agents make their own decisions to improve the effectiveness of the system by connectivity and automatic negotiation with other agents. Specifically, each of the connected vehicles can be regarded as an agent which is able to communicate and collaborate with others based on Vehicle-to-Vehicle (V2V) communication technologies. A case study on distributed traffic control system without traffic signal is presented in this paper. In particular, we consider traffic control at intersection problem as a group mutual exclusion problem where only connected vehicles in non-conflict relationship are able to enter the core of intersection simultaneously. Therefore, we extend the Ricart–Agrawala based-logical clock algorithm to deal with this problem. Various parameters (e.g., number of message exchange, average waiting time, total number of vehicle passing) have been measured to evaluate our approach. The simulated results show that our approach outperforms compared with existing traffic systems and previous works.
机译:这项研究的重点是通过先进的互联车辆技术的启发来开发分布式交通控制系统。在这方面,我们为连接的车辆引入了代理程序Internet(IoA)框架,代理程序通过与其他代理程序的连接和自动协商来做出自己的决定,以提高系统的有效性。具体地,每个连接的车辆都可以被视为能够基于车辆到车辆(V2V)通信技术与其他车辆进行通信和协作的代理。本文以无交通信号的分布式交通控制系统为例。特别是,我们将十字路口的交通管制问题视为一个群体互斥问题,其中只有非冲突关系的连接车辆才能同时进入十字路口的核心。因此,我们扩展了基于Ricart-Agrawala的逻辑时钟算法来处理此问题。测量了各种参数(例如,消息交换的数量,平均等待时间,车辆通过的总数)以评估我们的方法。仿真结果表明,与现有的交通系统和以前的工作相比,我们的方法具有更好的性能。

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