智能交通灯管理系统:系统文献综述

Aws A. Magableh, Mohanad A. Almakhadmeh, Nawaf O. Alsrehin, Ahmad F. Klaib
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引用次数: 4

摘要

交通拥堵是许多城市的一大问题。不注意信号、执法不力、红绿灯管理不善是导致交通拥堵的主要因素。城市最重要的问题之一是难以进一步扩大现有的基础设施。考虑到这一点,可以更好地管理交通信号灯的主要可行和可用的替代方案是使用技术系统。交通管理的方法有很多,如视频数据分析、红外传感器、电感环路检测、无线传感器网络和其他一些技术。本研究主要采用系统文献回顾法(SLR)对这些已有的研究方法进行综述。SLR旨在通过引入系统的过程来提高研究的综合。本文的目的是对现有的研究进行分析和评价,选择比较因素。本研究通过分析78项主要研究来达到这些目的。研究结果表明,在智能交通灯管理领域已经提出了相当数量的研究。然而,很少有人注意到调查使用实时交通数据来提高交通管理准确性的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Traffic Light Management Systems: A Systematic Literature Review
Traffic congestion is a major concern in many cities. Failure to heed signals, poor law enforcement, and bad traffic light management are main factors that have led to traffic congestion. One of the most important problems in cities is the difficulty of further expanding the existing infrastructures. Having that in mind, the main accessible and available alternatives that could provide better management of the traffic lights is to use technological systems. There are many methods available for traffic management such as video data analysis, infrared sensors, inductive loop detection, wireless sensor networks, and a few other technologies. This research is focused on reviewing all these existing methods and studies using a systematic literature review (SLR). The SLR was intended to improve the synthesis of research by introducing a systematic process. This article aims at analyzing and assessing the existing studies against selected factors of comparison. The study achieves these aims by analyzing 78 main studies. The research outcomes indicated that there are decent numbers of studies that have been proposed in the area of smart traffic light management. However, less attention has been paid on the possibility of investigating the use of live traffic data to improve the accuracy of traffic management.
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