交通堵塞车流调度单点信号嵌入式控制仿真
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摘要
针对交通堵塞问题,采用车流调度实现设备化的控制,在交通智能化方面具有非常重要的意义。在当前的交通车流调度过程中,考虑到嵌入式设备的处理性能,主要以车辆通行优先级为目标建立控制模型实现控制,而这一方法存在控制结果精度低的问题。本文提出一种新的基于嵌入式技术的交通堵塞车流调度单点信号控制方法,利用嵌入式设备进行车辆运行状态数据采集,通过一个绿灯时间内车辆行驶速度的上下限确定车辆在交叉口的抵达时间窗,获得各个相位时间窗的上下限约束条件,依据权值计算来确定各个相位的交通需求,以车辆通行优先级为目标建立单点信号控制模型。实验结果表明,所提方法能够有效提高道路的通行能力,减少车辆的总延误及停车次数。
It is significant in the aspect of managing traffic jam to control the single- point signal of traffic stream scheduling during the traffic jam.The control mainly uses the priority of vehicle traffic as the target single- point signal to build the control model and achieve the embedded control.Traditional method does not optimize the target single- point signal.It acquires the phase position set of single- point signal through connection relationship among nodes and builds the control model.Therefore,it leads to poor precision of control result.In this paper,we proposed a single- point signal embedded control method based on the embedded technology.Firstly,the method used the embedded technology to collect the state data of vehicle operation and confirmed the arrival time window of vehicle at the road crossing through the upper and lower bounds of vehicle running speed during one green time.Then,it obtained the upper and lower bounds constrain condition of each time window of phase position,and then confirmed the traffic demand of each phase position according to the weight calculation.Finally,it used the priority of vehicle traffic as the target single- point signal to build the control model.The simulation results show that the method can improve the road traffic capacity effectively.It reduces the overall delay and parking times of vehicle.
It is significant in the aspect of managing traffic jam to control the single- point signal of traffic stream scheduling during the traffic jam.The control mainly uses the priority of vehicle traffic as the target single- point signal to build the control model and achieve the embedded control.Traditional method does not optimize the target single- point signal.It acquires the phase position set of single- point signal through connection relationship among nodes and builds the control model.Therefore,it leads to poor precision of control result.In this paper,we proposed a single- point signal embedded control method based on the embedded technology.Firstly,the method used the embedded technology to collect the state data of vehicle operation and confirmed the arrival time window of vehicle at the road crossing through the upper and lower bounds of vehicle running speed during one green time.Then,it obtained the upper and lower bounds constrain condition of each time window of phase position,and then confirmed the traffic demand of each phase position according to the weight calculation.Finally,it used the priority of vehicle traffic as the target single- point signal to build the control model.The simulation results show that the method can improve the road traffic capacity effectively.It reduces the overall delay and parking times of vehicle.
引文
[1]黄佳倩,洪振杰,范劲松.基于类神经网络的城市交通信号区域优化算法[J].运筹学学报,2015,19(3):71-77.
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[6]林晓辉.基于全感应控制的交叉口信号控制方法与模型[J].现代交通技术,2015,12(1):44-46.
[7]修伟杰,等.基于VisVAP的改进双环相位感应控制[J].交通标准化,2014,42(15):115-117.
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[9]俞忠东,等.基于模糊控制的公交信号优先控制方法研究[J].交通信息与安全,2015,33(1)-35-40.
[10]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.
[2]董玉璞,李克平,倪颖.基于相位优先度规则的单点公交优先控制策略[J].同济大学学报(自然科学版),2014,42(8):1181-1189.
[3]慕飞飞,张惠珍.基于遗传算法的单点交叉口信号配时优化[J].上海理工大学学报,2015,37(6):600-604.
[4]屈新明,等.基于有效绿灯时间利用率的自适应控制策略研究[J].交通标准化,2015,1(1):54-58.
[5]孙刚,杨敏,顾惠.快速公交预感应信号优先协调控制策略[J].交通标准化,2015,1(1):59-65.
[6]林晓辉.基于全感应控制的交叉口信号控制方法与模型[J].现代交通技术,2015,12(1):44-46.
[7]修伟杰,等.基于VisVAP的改进双环相位感应控制[J].交通标准化,2014,42(15):115-117.
[8]刘伟,肖文彬.信号交叉口流线实时消散的动态逻辑组合控制[J].信息与控制,2015,44(6):745-752.
[9]俞忠东,等.基于模糊控制的公交信号优先控制方法研究[J].交通信息与安全,2015,33(1)-35-40.
[10]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.