基于改进F-B模型的过饱和状态下交叉口信号配时优化方法
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摘要
为减少过饱和交叉口的车辆延误时间,建立了改进的F-B配时模型。该模型进行周期计算的步骤与F-B法相同,在调查各进口道交通量时,提出"通过交通量"的概念,并采用延误模型对F-B算法以及改进F-B法进行评价。案例分析结果表明,与F-B配时模型相比,应用改进F-B配时模型的信号配时方案使相邻交叉口延误时间分别减少了34.39%和28.05%。该模型能够有效缓解交通拥堵,减少车辆排队长度并提高交叉口服务水平。
To reduce the vehicle delay time at oversaturated intersections,the improved F-B signal timing model was established. The procedures of cycle calculation in this model were the same as those in F-B method. The concept of"real traffic volume"was put forward when investigating the flow rate of each approach,and the delay model was used to evaluate the F-B method and the improved F-B method. The case study indicated that,compared with the F-B signal timing model,the use of improved F-B model made the delay time of two neighboring intersections of Wenhua Road/Fushan Road and Wenhua Road/Hagongda Road decrease 34. 39% and 28. 05% respectively. The improved model can ease traffic jam effectively,and reduce vehicle queue length,and improve the intersection service level.
To reduce the vehicle delay time at oversaturated intersections,the improved F-B signal timing model was established. The procedures of cycle calculation in this model were the same as those in F-B method. The concept of"real traffic volume"was put forward when investigating the flow rate of each approach,and the delay model was used to evaluate the F-B method and the improved F-B method. The case study indicated that,compared with the F-B signal timing model,the use of improved F-B model made the delay time of two neighboring intersections of Wenhua Road/Fushan Road and Wenhua Road/Hagongda Road decrease 34. 39% and 28. 05% respectively. The improved model can ease traffic jam effectively,and reduce vehicle queue length,and improve the intersection service level.
引文
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[6]何兆成,招玉华,赵建明,等.基于状态判别的单点交叉口信号配时优化方法[J].公路交通科技,2010,27(7):100-104.
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[9]杨晓光,李晓丹,谢峰,等.单点交叉口信号配时改进方法及原型系统实现[J].智能建筑与城市信息,2012(12):92-96.
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[13]王殿海.交通流理论[M].北京:人民交通出版社,2002.
[2]D'ANS G C,GAZIS D C.Optimal control of oversaturated store-and-forward transportation networks[J].Transportation Science,1976,10(1):1-19.
[3]WU X K,LIU H X,GETTMAN D.Identification of oversaturated intersections using high-resolution traffic signal data[J].Transportation Research Part C Emerging Technologies,2010,18(4):626-638.
[4]朱文兴,贾磊.主干路交通信号控制仿真研究[J].系统仿真学报,2006,17(12):3060-3064.
[5]卢凯,徐建闽,李林.过饱和交通状态下的停车延误协调控制模型[J].控制理论与应用,2010,27(12):1623-1630.
[6]何兆成,招玉华,赵建明,等.基于状态判别的单点交叉口信号配时优化方法[J].公路交通科技,2010,27(7):100-104.
[7]王进,白玉,杨晓光.关联信号交叉口排队长度计算模型[J].同济大学学报(自然科学版),2012,40(11):1634-1640.
[8]祁宏生,王殿海,陈松.基于综合饱和度的单点信号控制方法[J].哈尔滨工业大学学报,2012,44(2):134-137.
[9]杨晓光,李晓丹,谢峰,等.单点交叉口信号配时改进方法及原型系统实现[J].智能建筑与城市信息,2012(12):92-96.
[10]陈凝.过饱和状况下的城市道路区域交通信号配时优化方法[D].南京:东南大学,2015.
[11]安艳召.基于多源数据的单点过饱和动态信号控制研究[D].昆明:昆明理工大学,2015.
[12]全永燊.城市交通控制[M].北京:人民交通出版社,1989.
[13]王殿海.交通流理论[M].北京:人民交通出版社,2002.