A cooperative multi-agent system simulation model for urban traffic intelligent control

Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.) Pub Date : 2007-07-16 DOI:10.1145/1357910.1358059

Xu Jin, M. Itmi, H. Abdulrab

{"title":"A cooperative multi-agent system simulation model for urban traffic intelligent control","authors":"Xu Jin, M. Itmi, H. Abdulrab","doi":"10.1145/1357910.1358059","DOIUrl":null,"url":null,"abstract":"Agent-based urban traffic simulation has been looked as an efficient tool for traffic planning. However, the main problem is how to build an agent-based model for traffic simulation. This research presents an urban traffic information intelligent control model, which adopts a multi-agents coordination approach for urban traffic information control to coordinate the traffic network. In this paper, we propose a new traffic information intelligent control hybrid model based on multi-agent system that performs the basic interface, planning and supports services for managing different types of demand responsive transportation. In this research, we expose the main features and the behaviors exhibited of the multi-agent system. Based on this model, a simplified multi-agent traffic information control system can be developed that is effective for reducing traffic congestion and air pollution.","PeriodicalId":91410,"journal":{"name":"Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)","volume":"1 1","pages":"953-958"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1357910.1358059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

Abstract

Agent-based urban traffic simulation has been looked as an efficient tool for traffic planning. However, the main problem is how to build an agent-based model for traffic simulation. This research presents an urban traffic information intelligent control model, which adopts a multi-agents coordination approach for urban traffic information control to coordinate the traffic network. In this paper, we propose a new traffic information intelligent control hybrid model based on multi-agent system that performs the basic interface, planning and supports services for managing different types of demand responsive transportation. In this research, we expose the main features and the behaviors exhibited of the multi-agent system. Based on this model, a simplified multi-agent traffic information control system can be developed that is effective for reducing traffic congestion and air pollution.

查看原文本刊更多论文

城市交通智能控制的协同多智能体系统仿真模型

基于智能体的城市交通仿真已被视为一种有效的交通规划工具。然而，主要的问题是如何建立一个基于智能体的交通仿真模型。本研究提出了一种城市交通信息智能控制模型，该模型采用多智能体协调的方法进行城市交通信息控制，以协调交通网络。本文提出了一种基于多智能体系统的交通信息智能控制混合模型，该模型为不同类型的需求响应交通管理提供基本接口、规划和支持服务。在本研究中，我们揭示了多智能体系统的主要特征和表现出来的行为。基于该模型，可以开发出一种简化的多智能体交通信息控制系统，有效地减少了交通拥堵和空气污染。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)

自引率

0.00%

发文量