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作 者:张亚宁 Zhang Ya-ning(College of Automotive Engineering,Lanzhou Petrochemical University of Vocational Technology,Lanzhou 730060,China)
机构地区:[1]兰州石化职业技术大学汽车工程学院,甘肃兰州730060
出 处:《内燃机与配件》2024年第12期14-16,共3页Internal Combustion Engine & Parts
摘 要:车路协同作为当前中国自动驾驶的主要发展路径,通过不断融合“聪明的车”和“智能的路”两大核心要素,实现了车与路的高效协同,具有覆盖面广,产业链长,跨界融合特征突出的特点。同时,随着智能网联汽车朝着智慧出行的加速推进,渗透率逐渐增长,使得交通效率日益提高的同时大大降低了交通事故的发生率,改变了人们的生活方式。基于此,本文设计了一种基于车路协同的智能网联小车车速控制策略,通过实现智能网联小车车速与路侧单元红绿灯周期信号的数据共享,达到智能网联小车对红绿灯信号的判断并作出相应速度控制的目标。As the main development path for autonomous driving in China,vehicle road collaboration has achieved efficient collaboration between vehicles and roads by continuously integrating the two core elements of"smart cars"and"smart roads".It has the characteristics of wide coverage,long industrial chain,and prominent cross-border integration characteristics.At the same time,with the acceleration of intelligent connected vehicles towards intelligent travel,the penetration rate has gradually increased,making traffic efficiency increasingly improved,while greatly reducing the incidence of traffic accidents,changing people's lifestyles.Based on this,this paper designs a speed control strategy for intelligent networked vehicles based on vehicle road collaboration.By achieving data sharing between the speed of intelligent networked vehicles and the traffic light cycle signals of roadside units,the goal of intelligent networked vehicles judging traffic light signals and making corresponding speed control is achieved.
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