摘要
为研究含网联自动驾驶、自动驾驶和人工驾驶车辆的混合交通流在交叉口进口道受信号影响的混合基本图变化情况,构筑信号影响下的混合交通流跟驰模型,并进行混合基本图数值仿真。结果表明,同质交通流下CAV和AV能增加进口道最大通行能力,为12.47%和4.99%;信号信息能一定程度影响交叉口进口道通行能力;增加渗透率P能够提高混合交通流于交叉口进口道通行能力,当混合交通流为最佳密度时,渗透率为0.9、0.5,相较于0.1,进口道通行能力分别提高10.71%和6.52%。
To explore the fundamental diagram model of mixed traffic flow with Connected and Automated Vehicle(CAV),Automated Vehicle(AV)and Human Driven Vehicle(HDV)under the influence of intersection signals,a mixed car⁃following model was constructed.The numerical simulation of the fundamental diagram model was carried out.The numerical simulation results show that CAV and AV can increase the maximum capacity of the intersection entrance road by about 12.47%and 4.99%.The signal information can affect the intersection entrance road capacity to some extent.The increase of permeability P can improve the mixed traffic flow capacity of the intersection import road.And the capacity increases by 10.71%and 6.52%when P is 0.9 and 0.5 compared with 0.1 at the optimal density.
作者
张宇
饶畅
肖七瑞
ZHANG Yu;RAO Chang;XIAO Qirui(School of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China)
出处
《电子设计工程》
2024年第6期27-31,共5页
Electronic Design Engineering
基金
重庆市工程研究中心开放课题基金(21AKC44)。
关键词
交通工程
基本图模型
信号影响
网联环境
混合交通流
traffic engineering
fundamental diagram model
signal impact
connected environment
mixed traffic flow