{"title":"道路运输网络控制的多智能体系统方法","authors":"Mortaza zolfpour-Arokhlo, M. Mashinchi","doi":"10.1109/CSIEC.2016.7482113","DOIUrl":null,"url":null,"abstract":"Several challenges in road transportation network control cause an increasing number of vehicles to transport goods and people in our society. The concept of autonomous agents fits most actors in road transportation network, i.e., the weather, the traffic, the driver. Moreover, the traffic signals and the weather condition can also be regarded as an autonomous agent. Though, there is increasing number of agents, typical agents respond to changes in their environment inspite of highly couple. Most challenges for standard techniques are created by this domain in road transportation network from multi-agent systems such as road traffic control, weather and transport planning. This paper, first, proposes a new approach, and then, addresses the challenges for future works using multi-agent systems.","PeriodicalId":268101,"journal":{"name":"2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A multi-agent system approach to control road transportation network\",\"authors\":\"Mortaza zolfpour-Arokhlo, M. Mashinchi\",\"doi\":\"10.1109/CSIEC.2016.7482113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several challenges in road transportation network control cause an increasing number of vehicles to transport goods and people in our society. The concept of autonomous agents fits most actors in road transportation network, i.e., the weather, the traffic, the driver. Moreover, the traffic signals and the weather condition can also be regarded as an autonomous agent. Though, there is increasing number of agents, typical agents respond to changes in their environment inspite of highly couple. Most challenges for standard techniques are created by this domain in road transportation network from multi-agent systems such as road traffic control, weather and transport planning. This paper, first, proposes a new approach, and then, addresses the challenges for future works using multi-agent systems.\",\"PeriodicalId\":268101,\"journal\":{\"name\":\"2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIEC.2016.7482113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIEC.2016.7482113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-agent system approach to control road transportation network
Several challenges in road transportation network control cause an increasing number of vehicles to transport goods and people in our society. The concept of autonomous agents fits most actors in road transportation network, i.e., the weather, the traffic, the driver. Moreover, the traffic signals and the weather condition can also be regarded as an autonomous agent. Though, there is increasing number of agents, typical agents respond to changes in their environment inspite of highly couple. Most challenges for standard techniques are created by this domain in road transportation network from multi-agent systems such as road traffic control, weather and transport planning. This paper, first, proposes a new approach, and then, addresses the challenges for future works using multi-agent systems.