摘要
针对网联自动驾驶车辆(connected autonomous vehicle,CAV)渗透路网,对不同断面特性造成的机非交互情境差异性干扰交通流的情况进行秩序评价。以南浔泰安西路为例,引入CAV渗透比例,统计分析路段高峰期的交通流数据,提出了遗传算法校正CAV跟驰模型仿真参数,搭建VISSIM仿真平台,以效率和安全两个角度为指标进行秩序评价。结果表明,路幅板块增多和渗透率的升高利于城市道路路网的运行,机非物理隔离可有效保证路面车辆行驶的安全性。
Aiming at the infiltration of Connected Autonomous Vehicle(CAV)into the road network,the order evaluation was carried out on the different disturbance of traffic flow caused by different section types of machine-non-interaction situations.Taking Taian West Road in Nanxun as an example,the CAV penetration ratio was introduced,and the traffic flow data at peak times were statistically analyzed in combination with the different interaction situations caused by the section characteristics.A genetic algorithm was proposed to correct the simulation parameters of CAV following model,and a VISSIM simulation platform was built to evaluate the order from two perspectives of efficiency and safety.The results show that the increase of road width and permeability is beneficial to the operation of urban road network,and the non-physical isolation can effectively ensure the safety of road vehicles.
作者
陆昆敏
庄一舟
詹小丽
周子健
LU Kunmin;ZHUANG Yizhou;ZHAN Xiaoli;ZHOU Zijian(College of Civil Engineering,Zhejiang University of Technology,Hangzhou 310000,China)
出处
《科技和产业》
2024年第10期219-226,共8页
Science Technology and Industry
关键词
机非交互
渗透率
跟驰模型
断面类型
秩序评价
machine non-interaction
permeability
following model
section type
order evaluation
