Intelligent traffic light design and control in smart cities: A survey on techniques and methodologies

被引:0
|
作者
Agrawal A. [1 ]
Paulus R. [1 ]
机构
[1] Department of Electronics and Communication Engineering, Vaugh Institute of Agricultural Engineering and Technology (VIAET), Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Naini, Prayagraj, Uttar Pradesh
关键词
Adaptive traffic light control; ATLC; Fuzzy logic; Intelligent transportation systems; Isolated intersections; ITS; Multiple intersections; VANET; WSN;
D O I
10.1504/IJVICS.2020.111456
中图分类号
学科分类号
摘要
such as road blockage, transportation delays, pollution level, fuel consumption, etc. Traffic light signals at intersections, being a part of Traffic Management System (TMS) play an important role in effectively controlling traffic. The conventional pre-timed controlled traffic signals are becoming a bottleneck in clearance of intense traffic especially during rush hours. Adaptive Traffic Light Control (ATLC) has been outlined for quick traffic clearance at junctions, which could additionally be upgraded by giving right of approach to emergency vehicles. This survey summarises ATLC systems designed by leveraging the existing technologies such as WSN, VANET and image processing techniques to gather real-time traffic statistics, and evaluating the accumulated data to alter traffic lights with the aid of intelligent controllers. Keeping in mind the benefits of fuzzy logic in traffic control, this survey provides in-depth review of the fuzzy controllers in context to traffic lights at isolated and multiple intersections. Popular ATLC systems implemented worldwide are also summarised. © 2020 Inderscience Enterprises Ltd.. All rights reserved.
引用
收藏
页码:436 / 481
页数:45
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