基于多源数据的单点过饱和动态信号控制研究

发布时间：2018-04-12 18:28

本文选题：信号控制 + 多源数据　；参考：《昆明理工大学》2015年硕士论文

【摘要】：跟随着城市化进程的加快,城市中的人口和机动车数量呈现出高速地增长,交通需求日益剧增。为了满足城市交通需求,对道路网进行了重新规划和改扩建,然而作为交通供给的城市交通道路资源的增长速度远远滞后于交通需求的增长速度,这使得城市道路系统超出其承载能力,交通拥堵日益加剧。两条或者多条道路交叉形成了交叉口,在此处所有相交道路的车流汇集,可以称为是城市交通系统中的重要节点,在此处交通流交织汇集、冲突严重,其通行能力低于路段通行能力,故极易造成交叉口呈现过饱和交通状态,形成拥堵节点。随着交叉口过饱和状态的持续,车辆滞留持续积累,交通秩序混乱,通行效率急剧下降,且易发生车辆排队溢流而造成交通拥堵的连锁反应,形成区域性交通瘫痪。所以,提高单点过饱和交叉口的信号控制效果是改善城市交通面貌的重要策略。若要改善交叉口的信号控制方案,首先是要获得交叉口准确的交通信息数据。然而,当交叉口为过饱和时,它的交通流特性较为复杂,影响区域较大,基于一种交通信息采集设备获得的交通数据往往会存在较大的误差性,并且采集的信息存在片面性。鉴于上述问题,本文将围绕基于多源交通信息数据的单点过饱和交叉口的信号控制展开研究。本着交通检测设备投入费用较低和获取较准确的交通信息数据的思想,根据环形线圈检测器和视频检测器的不同特性获取不同的交通参数,本文将依据环形线圈检测器获取交通流量和排队长度两个交通参数,利用视频检测器获取车辆延误时间。最后,本文基于环形线圈检测器和视频检测器获取的多源交通数据,以交叉口的平均延误时间、平均排队长度和通行能力为优化目标,’构建了过饱和信号交叉口的信号配时优化模型,并在昆明市人民路与东风路交叉口对过饱和状态下的信号配时优化模型进行验证。通过仿真实验对优化前后的评价指标进行分析,结果表明：此交叉口的平均延误时间和平均排队长度均有所减少,交叉口的通行能力得到了提高。
[Abstract]:With the acceleration of urbanization, the population and the number of motor vehicles in the city are increasing rapidly, and the traffic demand is increasing rapidly.In order to meet the demand of urban traffic, the road network has been reprogrammed and expanded. However, the growth rate of urban traffic road resources, as a supply of traffic, lags far behind the growth rate of traffic demand.This makes the urban road system beyond its carrying capacity, traffic congestion is increasing.Two or more roads intersect to form an intersection, where traffic flows from all intersecting roads can be described as important nodes in the urban transport system, where traffic flows are intertwined and conflicted.The traffic capacity is lower than the section capacity, so it is easy to cause the intersection to become oversaturated traffic state and form congested nodes.With the continuous over-saturation state of intersection, the vehicle retention continues to accumulate, the traffic order is chaotic, the traffic efficiency drops sharply, and it is easy to cause the chain reaction of traffic congestion caused by the vehicle queuing and overflow, which leads to the regional traffic paralysis.Therefore, improving the signal control effect of single point supersaturated intersection is an important strategy to improve urban traffic outlook.In order to improve the signal control scheme of intersections, the first step is to obtain accurate traffic information data.However, when the intersection is supersaturated, its traffic flow characteristics are more complex, and the influence area is larger. The traffic data based on a traffic information acquisition device often has a large error, and the information collected is one-sidedness.In view of the above problems, this paper will focus on the signal control of single point supersaturated intersection based on multi-source traffic information data.Based on the idea of low input cost of traffic detection equipment and obtaining more accurate traffic information data, different traffic parameters are obtained according to the different characteristics of loop coil detector and video detector.In this paper, two traffic parameters, traffic flow and queue length, are obtained by loop detector, and vehicle delay time is obtained by video detector.Finally, based on the multi-source traffic data obtained by loop loop detector and video detector, the average delay time, average queue length and traffic capacity of intersection are optimized.The signal timing optimization model of supersaturated signal intersection is constructed, and the signal timing optimization model under supersaturated condition is verified at the intersection of Renmin Road and Dongfeng Road in Kunming City.The evaluation indexes before and after optimization are analyzed by simulation experiments. The results show that the average delay time and the average queue length of the intersection are reduced and the traffic capacity of the intersection is improved.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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