{"title":"基于车联网的城市智能交通信号自组织控制方法研究","authors":"Chunmei Wang","doi":"10.1504/ijvics.2020.10030791","DOIUrl":null,"url":null,"abstract":"In order to overcome the problem of poor application of traditional urban intelligent traffic signal self-organisation control, a method of urban intelligent traffic signal self-organisation control based on vehicle network is proposed. A signal self-organising control system based on on-demand distribution is constructed, in which the fixed unit module RSU receives vehicle traffic data through sensors. RDU is used to monitor vehicle data and construct signal adaptive control strategy, which can reduce vehicle waiting time and realise urban intelligent traffic signal self-organising control. Simulation results show that the average number of stops at the intersection at the same time point is less than 0.3. The average stopping time is 8.728s, which is obviously lower than other methods. The average pass rate at the intersection is 98.65%, which is obviously higher than other methods and feasible.","PeriodicalId":39333,"journal":{"name":"International Journal of Vehicle Information and Communication Systems","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on self-organising control method of urban intelligent traffic signal based on vehicle networking\",\"authors\":\"Chunmei Wang\",\"doi\":\"10.1504/ijvics.2020.10030791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to overcome the problem of poor application of traditional urban intelligent traffic signal self-organisation control, a method of urban intelligent traffic signal self-organisation control based on vehicle network is proposed. A signal self-organising control system based on on-demand distribution is constructed, in which the fixed unit module RSU receives vehicle traffic data through sensors. RDU is used to monitor vehicle data and construct signal adaptive control strategy, which can reduce vehicle waiting time and realise urban intelligent traffic signal self-organising control. Simulation results show that the average number of stops at the intersection at the same time point is less than 0.3. The average stopping time is 8.728s, which is obviously lower than other methods. The average pass rate at the intersection is 98.65%, which is obviously higher than other methods and feasible.\",\"PeriodicalId\":39333,\"journal\":{\"name\":\"International Journal of Vehicle Information and Communication Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Vehicle Information and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijvics.2020.10030791\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Information and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvics.2020.10030791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Research on self-organising control method of urban intelligent traffic signal based on vehicle networking
In order to overcome the problem of poor application of traditional urban intelligent traffic signal self-organisation control, a method of urban intelligent traffic signal self-organisation control based on vehicle network is proposed. A signal self-organising control system based on on-demand distribution is constructed, in which the fixed unit module RSU receives vehicle traffic data through sensors. RDU is used to monitor vehicle data and construct signal adaptive control strategy, which can reduce vehicle waiting time and realise urban intelligent traffic signal self-organising control. Simulation results show that the average number of stops at the intersection at the same time point is less than 0.3. The average stopping time is 8.728s, which is obviously lower than other methods. The average pass rate at the intersection is 98.65%, which is obviously higher than other methods and feasible.