智能交通系统中基于双速度差的新型车辆队列跟随模型研究  

Research on a Novel Vehicle Queue Following Model Based on Dual Speed Difference in Intelligent Transportation Systems

作　　者：王杰 赵辉 郭志龙 惠子文 王威民 WANG Jie;ZHAO Hui;GUO Zhilong;HUI Ziwen;WANG Weiming(Lanzhou Petrochemical University of Vocational Technology,Lanzhou Gansu 730060,China;Gulang County Zhitan Junior High School,Wuwei Gansu 733100,China)

机构地区：[1]兰州石化职业技术大学,甘肃兰州730060 [2]古浪县直滩初级中学,甘肃武威733100

出　　处：《甘肃科技纵横》2024年第7期69-76,共8页Gansu Science and Technology Information

基　　金：2023年省级大学生创新创业训练计划项目“一种高速动车组转向架轴箱定位节点拆装装置”(S202316209008)。

摘　　要：智能交通系统(ITS)既能更容易地获取周围交通的状态信息又能更好地控制车辆的运动。为了描述和预测ITS环境下车辆在交通流中的行为,保证车辆安全,增加交通流的稳定性,文章考虑在ITS环境下加入车头间距记忆和后向观测这2个因素,建立了一种基于前后车辆双速度差的新型车辆队列跟随模型(HMBE)。通过对HMBE模型进行线性稳定性分析,得到了HMBE模型的线性稳定性条件,验证了车头间距记忆和后向观测这2个因素可以增强交通流的稳定性,提高了车辆安全和通行效率。通过数值模拟分析当交通流出现小扰动时,其对交通流的影响,发现随着时间的增加,小扰动几乎消失,验证了HMBE模型相对于一般的双速度差模型对提高交通流稳定性具有更明显的作用。The Intelligent Transportation Systems(ITS)can more easily obtain the status information of surrounding traffic and better control the movement of vehicles.In order to describe and predict the behavior of vehicles in traffic flow under the ITS environment,ensure safety to the vehicle,and increase the stability of traffic flow,the paper considers the two factors of the front distance memory of the vehicle in the ITS environment.A new type of vehicle queue based on the dual-speed difference between the front and rear vehicles follows the model(HMBE).By conducting linear stability analysis on the HMBE model,the linear stability conditions of the HMBE model have been obtained,and it was verified that the two factors of the front distance memory and backward observation can enhance the stability of traffic flow,improve vehicle safety and traffic efficiency.Through the numerical simulation analysis of the impact of small disturbances on traffic flow,it was found that as time increases,the small disturbances almost disappear,verifying that the HMBE model has a more significant effect on improving traffic flow stability compared to the general dual speed difference model.

关 键 词：智能交通系统 交通流 车头间距记忆 后向观测 双速度差 线性稳定性 

分 类 号：U12[交通运输工程]