城区道路与轨道车辆信号协调控制方法研究

发布时间：2018-07-16 08:26

【摘要】：本论文以干支线混合的拥堵型城区道路为研究对象,主要目的在于设计一套适用于国内独特交通流以及城市复杂路网的区域协调控制方案,以达到最大程度降低车辆的行驶延误,减少停车次数,缩短车辆在路网内的行驶时间的效果,并对带有轨道车辆的交叉口进行相位时间动态调整,确保轨道车辆优先,主要工作如下： (1)首先建立了干支线混合的拥堵型城区模型,针对于国内城市干支线错综复杂的问题,提出重点控制城区干线的思想。然后设计区域协调控制算法,其四个基本步骤为：划分子区、计算子区的初始周期、子区的合并和拆分、计算子区内部所有交叉口的最佳周期、相位差以及最佳绿信比方案。其中,最佳周期和相位差是通过基于最大绿波带的干线协调控制算法获得；最佳绿信比方案是通过基于饱和度预测的单点绿信比优化算法实现。最后通过经典算例分析以及根据湖南醴陵市的交通数据进行系统仿真验证,使用该方案后,子区内部能获得大于30%的绿波带宽度；单个交叉口的平均停车次数比传统定时控制方案减少65%。 (2)首先对深圳珠海市的带有轨道车辆交叉口进行相位设计,然后针对传统轨道优先策略对交通延误影响较大的缺点,设计了一种相位时间动态调整算法,根据预测的轨道列车到达交叉口的时间,通过提前3个周期动态地对交叉口各相位时间进行缩短或延长调整,从而达到轨道列车到达交叉口时恰好能遇到绿灯,顺利通过交叉口。最后通过VISSIM软件对算法进行仿真,结果表明相位时间动态调整算法能有效降低对非轨道车辆相位的延误影响。
[Abstract]:The main purpose of this paper is to design a regional coordinated control scheme suitable for domestic unique traffic flow and complex urban road network. In order to minimize the vehicle delay, reduce the number of stops, shorten the driving time of the vehicle in the road network, and dynamically adjust the phase time of the intersections with rail vehicles to ensure the priority of rail vehicles, The main work is as follows: (1) firstly, the mixed urban congestion model of trunk and branch lines is established. Aiming at the complex problems of urban trunk and branch lines in China, the idea of controlling urban trunk lines is put forward. Then a region coordination control algorithm is designed. The four basic steps of the algorithm are as follows: dividing subareas, calculating the initial period of sub-regions, merging and splitting sub-regions, calculating the optimal period, phase difference and the optimal green signal ratio scheme for all intersections within the sub-region. Among them, the optimal period and phase difference are obtained by the coordinated control algorithm based on the maximum green band, and the optimal green signal ratio scheme is realized by the single point green signal ratio optimization algorithm based on saturation prediction. Finally, through the classical example analysis and according to the traffic data of Liling City, Hunan Province, the simulation results show that the width of the green wave band can be more than 30% in the sub-area after the use of the scheme. The average number of stops at a single intersection is 65 times less than that of the traditional timing control scheme. (2) first of all, the phase design of the intersection with rail vehicles in Zhuhai, Shenzhen, is carried out. Then, aiming at the disadvantage of the traditional rail priority strategy which has great influence on the traffic delay, a phase time dynamic adjustment algorithm is designed, according to the predicted time of track train arriving at the intersection. The phase time of intersections is shortened or extended dynamically by three cycles in advance so that the rail trains can meet the green light and pass through the intersections smoothly when they arrive at the intersections. Finally, the algorithm is simulated by Visual IM software, and the results show that the phase time dynamic adjustment algorithm can effectively reduce the delay effect on the phase of non-rail vehicles.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.54;U284

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