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Intersection Actuated Signal Phase and Timing Algorithms in Connected Vehicle Environment

机译：互联车辆环境中的交叉路口激励信号相位和时序算法

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摘要

The heavy congestion and pollution caused by the rapid growing vehicles have become the bottleneck of developing harmonious city. With the development of CV (connected vehicle) technology, CV traffic management and control system based on V2V (vehicle to vehicle) and V2I (vehicle to infrastructure) has become an effective means to solve the urban traffic problems. Adapting the variable pattern of traffic demand, the methods of adjusting dynamically the unit extension time and its times are adopted to design three IA-SPaT (intersection actuated signal phase and timing) algorithms. Using the OE-CVS (one engine connected vehicle system), the proposed algorithms are validated and three indexes of delay, queue length, and emission are analyzed. The results indicate that three actuated algorithms have a reduction of around 20.3% for average delay, 5.5% for average queue length, and 9.7% for average pollutants emission comparing to the fixed signal phase and timing algorithm.
机译：快速增长的车辆造成的严重拥堵和污染已成为发展和谐城市的瓶颈。随着CV（互联汽车）技术的发展，基于V2V（车对车）和V2I（车对基础设施）的CV交通管理和控制系统已成为解决城市交通问题的有效手段。为了适应交通需求的可变模式，采用动态调整单位扩展时间及其时间的方法来设计三种IA-SPaT（交叉口激励信号相位和时序）算法。使用OE-CVS（单引擎连接的车辆系统），验证了所提出的算法，并分析了延迟，队列长度和排放的三个指标。结果表明，与固定信号相位和定时算法相比，三种驱动算法的平均延迟减少了大约20.3％，平均队列长度减少了5.5％，平均污染物排放减少了9.7％。

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