基于高效红绿灯调度算法的绿色道路交叉口

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Maram Bani Younes, A. Boukerche
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引用次数: 3

摘要

减少道路网络上行驶车辆的燃料消耗和气体排放已经在道路网络上进行了深入的研究。汽车对大气产生的污染比例很高,这鼓励政府和组织投资并努力减少排放。就效率和污染参数而言,同一辆车在市区和高速公路上的行为是不同的。这是由于穿越道路的建筑设计和驾驶行为的影响。本文提出了一种高效的红绿灯调度算法。它考虑了信号交叉口竞争交通流的实时交通特性。这是为了产生一个有效的时间表,最大限度地减少车辆所需的燃料总量,并在安全通过十字路口的同时减少排放。一组广泛的实验已被用来验证该调度算法的性能与其他有效的交通灯调度算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green Road Intersections by Efficient Traffic Light Scheduling Algorithm
Reducing the fuel consumption and gas emissions of traveling vehicles over the road networks have been intensively investigated over the road networks. Vehicles produce a high percentage of pollution to the atmosphere that encourages governments and organizations to invest and work toward reducing their emissions. The behavior of the same vehicle varies over downtown and highway scenarios in terms of efficiency and pollution parameters. This is due to the effects of the architectural design of the traversed road and the driving behavior. In this work, we propose an efficient traffic light scheduling algorithm. It considers the real-time traffic characteristics of the competing traffic flows at a signalized road intersection. This is to produce an efficient schedule that minimizes the total required fuel of vehicles and produces less emissions while passing safely through that intersection. An extensive set of experiments have been used to verify the performance of the proposed scheduling algorithm compared to other efficient traffic light scheduling algorithms.
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来源期刊
Ad Hoc & Sensor Wireless Networks
Ad Hoc & Sensor Wireless Networks 工程技术-电信学
CiteScore
2.00
自引率
44.40%
发文量
0
审稿时长
8 months
期刊介绍: Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.
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