ADAPTIVE TRAFFIC SYSTEM CONTROLLERS IN TRAFFIC ENGINEERING : A SURVEY

IF 0.2 Q4 MULTIDISCIPLINARY SCIENCES Suranaree Journal of Science and Technology Pub Date : 2023-12-15 DOI:10.55766/sujst-2023-03-e03030
Amarpreet Singh, Sandeep Singh, Alok Aggarwal
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Abstract

In today’s era, traffic congestion is the widest spread problem observed all over the world, arising as consequence of exponential rise in vehicle count at the traffic intersections. This growth has largely affected the people as they are experiencing enhanced delay in travelling time and increased fuel consumption which led to wastage of billions of dollars. The current road infrastructure design and traffic signal controlling using a cycle of fixed time phase of green/red/yellow lights are not adequate to tackle the rising demands of traffic in an optimum way. These traditional traffic signal systems cannot handle the dynamics of road traffic at the intersections and hence results in exceeding delays. Also, the volume of traffic at any intersection at different times of the day is uncertain and hence it is hard to get an exact mathematical model for this problem. Many researchers have proposed some solution to this problem and their work is reviewed extensively in this paper. Due to its ability to deal with uncertainty, fuzzy logic is considered as the most appropriate technique to solve this problem and is highly recommended method for implementing automated traffic controllers. Due to its inherent advantages, most of the research in the field of traffic engineering is carried out using fuzzy logic techniques. Hence, this paper presents a systematic review of various techniques that are used for an effective management of traffic, especially focusing on different fuzzy based traffic controllers and their performance comparison to identify the best input output parameter.
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交通工程中的自适应交通系统控制器:调查
在当今时代,交通拥堵是全世界最普遍的问题,它是交通路口车辆数量激增的结果。这种增长在很大程度上影响了人们的出行,因为他们的出行时间延迟了,燃料消耗增加了,导致数十亿美元的浪费。目前的道路基础设施设计和交通信号控制采用固定的绿灯/红灯/黄灯时间周期,不足以以最佳方式应对日益增长的交通需求。这些传统的交通信号系统无法处理交叉路口的道路交通动态,从而导致延误时间过长。此外,一天中不同时间任何交叉路口的交通流量都是不确定的,因此很难为这一问题建立精确的数学模型。许多研究人员都针对这一问题提出了一些解决方案,本文将对他们的工作进行广泛综述。由于模糊逻辑具有处理不确定性的能力,因此被认为是解决这一问题的最合适技术,也是实施自动交通控制器的强烈推荐方法。由于其固有的优势,交通工程领域的大部分研究都是使用模糊逻辑技术进行的。因此,本文对用于有效管理交通的各种技术进行了系统综述,尤其侧重于不同的模糊交通控制器及其性能比较,以确定最佳输入输出参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Suranaree Journal of Science and Technology
Suranaree Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
0.30
自引率
50.00%
发文量
0
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