F. Gaol, Pramasiwo Alam, Muhammad Bio Franklyn, Kevins Angke, T. Matsuo
{"title":"具有嵌入式GPS(全球定位系统)和GSM(全球移动通信系统)屏蔽的交通灯系统","authors":"F. Gaol, Pramasiwo Alam, Muhammad Bio Franklyn, Kevins Angke, T. Matsuo","doi":"10.4018/ijaci.323196","DOIUrl":null,"url":null,"abstract":"Artificial intelligence traffic controllers are being designed with the primary goal of enabling them to adapt to the most recent sensor data in order to perform ongoing optimizations on the signal timing plan for intersections in a network in order to reduce traffic congestions, the most pressing issue in traffic flow control at present. The authors are employing an intelligent traffic redirection technology to reduce traffic and road congestion. This would operate utilizing sensors to determine weight, with the result communicated to a traffic light PLC to control the detour. The result of experiments reduced the number of automobiles in a given time interval by 51%. There is improvement as well as on the average speed of automobiles that increase within the system by 49%. The authors also found a reduction of the average time a vehicle must wait in a system by 58%. Moreover, the implementation shows that the average wait times at junctions have been reduced by 34%.","PeriodicalId":51884,"journal":{"name":"International Journal of Ambient Computing and Intelligence","volume":"122 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Traffic Light System With Embedded GPS (Global Positioning System) and GSM (Global System for Mobile Communications) Shield\",\"authors\":\"F. Gaol, Pramasiwo Alam, Muhammad Bio Franklyn, Kevins Angke, T. Matsuo\",\"doi\":\"10.4018/ijaci.323196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence traffic controllers are being designed with the primary goal of enabling them to adapt to the most recent sensor data in order to perform ongoing optimizations on the signal timing plan for intersections in a network in order to reduce traffic congestions, the most pressing issue in traffic flow control at present. The authors are employing an intelligent traffic redirection technology to reduce traffic and road congestion. This would operate utilizing sensors to determine weight, with the result communicated to a traffic light PLC to control the detour. The result of experiments reduced the number of automobiles in a given time interval by 51%. There is improvement as well as on the average speed of automobiles that increase within the system by 49%. The authors also found a reduction of the average time a vehicle must wait in a system by 58%. Moreover, the implementation shows that the average wait times at junctions have been reduced by 34%.\",\"PeriodicalId\":51884,\"journal\":{\"name\":\"International Journal of Ambient Computing and Intelligence\",\"volume\":\"122 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Ambient Computing and Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijaci.323196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Ambient Computing and Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijaci.323196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
Traffic Light System With Embedded GPS (Global Positioning System) and GSM (Global System for Mobile Communications) Shield
Artificial intelligence traffic controllers are being designed with the primary goal of enabling them to adapt to the most recent sensor data in order to perform ongoing optimizations on the signal timing plan for intersections in a network in order to reduce traffic congestions, the most pressing issue in traffic flow control at present. The authors are employing an intelligent traffic redirection technology to reduce traffic and road congestion. This would operate utilizing sensors to determine weight, with the result communicated to a traffic light PLC to control the detour. The result of experiments reduced the number of automobiles in a given time interval by 51%. There is improvement as well as on the average speed of automobiles that increase within the system by 49%. The authors also found a reduction of the average time a vehicle must wait in a system by 58%. Moreover, the implementation shows that the average wait times at junctions have been reduced by 34%.