摘要
间歇式公交专用道虽然能有效提高专用道的利用率,但是过量的社会车辆借道会导致公交车辆的额外延误,因此有必要对借道车辆的总量进行控制。提出车联网环境容量约束的控制策略,首先,将相邻前后公交车辆之间的路段空间设置为基本控制单元;然后,以公交车辆行驶方向的下游信号交叉口通行能力作为可借道容量约束;最后,利用车辆间通信允许不超过基本控制单元可借道容量的社会车辆在控制单元范围借道。此外,还提出了容量约束的专用道入口控制策略作为无车联网时的替代策略。SUMO仿真验证表明:相较于一般间歇式公交专用道,容量约束控制策略在不增加公交车延误和不干扰邻道交通流运行稳定性的同时,不仅可提高道路通行能力和减少行程时间,而且更适用于饱和交通环境。
The intermittent bus lane can effectively improve the utilization rate of bus lanes,but excessive entered private vehicles will lead additional bus delay.Therefore,it is necessary to restrict the total amount of private vehicles thatenteredbus lane.A control strategy with capacity restriction in connected vehicle environment is proposed:first,the section space between adjacent front and rear buses is set as the basic control unit;then,the traffic capacity of the downstream intersection in the driving direction of buses is taken as the restriction of available capacity;finally the private vehicles that do not exceed the available capacity of the basic control unit are allowed to enter the bus lane within the scope of the control unit by using the communication between connected vehicles.In addition,a capacity restricted entrance control strategy without connected vehicle environment is proposed as an alternative.The simulation results based on SUMO shows that compared with the general strategy of intermittent bus lane,the control strategy with capacity restriction can improve the road section capacity and reduce the travel time without increasing the bus delay and disturbing the traffic flow stability of adjacent lanes,and is more suitable for saturated traffic.
作者
林盈盈
董红召
张楠
佘翊妮
LIN Yingying;DONG Hongzhao;ZHANG Nan;SHE Yini(College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310014,China;Department of Engineering,Zhejiang Open University,Hangzhou 310012,China)
出处
《浙江工业大学学报》
CAS
北大核心
2023年第3期271-281,共11页
Journal of Zhejiang University of Technology
基金
国家自然科学基金资助项目(61773347)
浙江省公益计划资助项目(LGF20F030001)。
关键词
智能交通
公交专用道
智能车联网
通行能力
交通波
intelligent transportation
dedicated bus lane
intelligent vehicular networks
traffic capacity
traffic wave