Traffic Light System With Embedded GPS (Global Positioning System) and GSM (Global System for Mobile Communications) Shield

F. Gaol, Pramasiwo Alam, Muhammad Bio Franklyn, Kevins Angke, T. Matsuo
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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%.
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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
设计人工智能交通控制器的主要目标是使其能够适应最新的传感器数据,以便对网络中十字路口的信号定时计划进行持续优化,以减少交通拥堵,这是目前交通流控制中最紧迫的问题。作者采用智能交通重定向技术来减少交通和道路拥堵。这将利用传感器来确定重量,并将结果传达给交通灯PLC来控制绕行。实验结果表明,在给定的时间间隔内,汽车的数量减少了51%。在系统内,车辆的平均速度提高了49%。作者还发现,车辆在系统中等待的平均时间减少了58%。此外,实施表明,路口的平均等待时间减少了34%。
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CiteScore
3.50
自引率
0.00%
发文量
30
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