{"title":"交通信号控制的连续遗传算法","authors":"E. M. Ahmed","doi":"10.1109/ICCCEEE.2018.8515770","DOIUrl":null,"url":null,"abstract":"Traffic signal control has many approaches with the aim of reducing congestions on intersections. Genetic Algorithms (GAs) have been applied in traffic signal control recently in some research. However, there is still a room for more using of the GA under different scenarios. In this papers, we introduce an outstanding GA for traffic control. The proposed GA can work on single or multiple intersections. Results show that the proposed GA allows almost all vehicles on intersections to pass through under reasonable delay.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"98 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Continuous Genetic Algorithm for Traffic Signal Control\",\"authors\":\"E. M. Ahmed\",\"doi\":\"10.1109/ICCCEEE.2018.8515770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic signal control has many approaches with the aim of reducing congestions on intersections. Genetic Algorithms (GAs) have been applied in traffic signal control recently in some research. However, there is still a room for more using of the GA under different scenarios. In this papers, we introduce an outstanding GA for traffic control. The proposed GA can work on single or multiple intersections. Results show that the proposed GA allows almost all vehicles on intersections to pass through under reasonable delay.\",\"PeriodicalId\":6567,\"journal\":{\"name\":\"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"volume\":\"98 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCEEE.2018.8515770\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE.2018.8515770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Continuous Genetic Algorithm for Traffic Signal Control
Traffic signal control has many approaches with the aim of reducing congestions on intersections. Genetic Algorithms (GAs) have been applied in traffic signal control recently in some research. However, there is still a room for more using of the GA under different scenarios. In this papers, we introduce an outstanding GA for traffic control. The proposed GA can work on single or multiple intersections. Results show that the proposed GA allows almost all vehicles on intersections to pass through under reasonable delay.
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