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. DOI: 10.13976/j.cnki.xk.2015.0745
引用本文: 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. DOI: 10.13976/j.cnki.xk.2015.0745
LIU Wei, XIAO Wenbin. Dynamic Logical Combination Control of Streamlined Real-time Dissipation at Signalized Intersections[J]. INFORMATION AND CONTROL, 2015, 44(6): 745-752. DOI: 10.13976/j.cnki.xk.2015.0745
Citation: LIU Wei, XIAO Wenbin. Dynamic Logical Combination Control of Streamlined Real-time Dissipation at Signalized Intersections[J]. INFORMATION AND CONTROL, 2015, 44(6): 745-752. DOI: 10.13976/j.cnki.xk.2015.0745

信号交叉口流线实时消散的动态逻辑组合控制

Dynamic Logical Combination Control of Streamlined Real-time Dissipation at Signalized Intersections

  • 摘要: 在信号控制交叉口交通流线部分非饱和且车流到达波动较大情况下,定时或定相位感应控制不能最大化利用相位的绿灯时间. 为实现信号控制与交通流线到达的波动性相适应,尽量减少周期绿灯损失,提高交叉口通行能力,提出交叉口流线动态组合控制. 由流线的交通特性以及逻辑函数确定交叉口可行控制相位组合,通过交叉口交通流线实时消散模型确定流线逻辑值,依据逻辑值的大小以及交叉口控制相位绿灯损失最少的逻辑组合原则,实现交叉口流线实时消散的动态逻辑组合控制. 通过实例计算分析可知,随着交叉口流线车辆到达随时间显著性变化,流线动态逻辑组合控制比定周期或定相位的感应控制方式延误更小,控制方案更灵活,与交通流协调性更好,可提高交叉口时空资源利用效率.

     

    Abstract: In this study, we address the current situation at signalized intersections where the vehicle stream arrival rate fluctuates and is unsaturated, such that optimal green-time phases cannot be achieved using pre-timed or fixed-phase sensing signal controls. To improve signal control for fluctuating vehicle streams, we propose minimizing the lost green-time of the cycle and improving intersections capacity by the dynamic combination control of vehicle streams at the intersection. Based on the vehicle-stream characteristics and a logic function, we can determine a feasible control-phase combination, in which the logic value of the traffic flow is ensured by an intersection real-time dissipation model. By logically combining the principles of the size of the Boolean value and the minimal loss of green phases, we achieve a dynamic logical combination of vehicle stream control using real-time dissipation at signalized intersections. The analysis results in our example show that since vehicle-stream arrivals at the intersection change significantly with time, our proposed real-time dynamic signal control can be programmed for more flexible control and more realistic movement schemes that respond to fluctuations in the vehicle stream. Thus, this strategy yields improvements in the time and space utilization at intersections that have fluctuating vehicle arrival rates, while also having fewer delays than pre-timed cycles or fixed-phase sensing controls.

     

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