采用交通出行量数据的多点联动瓶颈控制方法

发布时间：2018-05-21 05:51

本文选题：瓶颈控制 + 可控制路段　；参考：《浙江大学学报(工学版)》2017年02期

【摘要】：为了精确定位瓶颈路段的需求来源、均衡瓶颈路段交通需求时空分布,防止溢流及拥堵转移,提出基于视频信息提取的交通出行量(OD)数据的搜索诱发路段瓶颈的关键车流路径与可控制路段方法,确定瓶颈调控节点;以上游区域为控制对象、以特定时间内消散路段瓶颈为控制目标,估算驶入流量总调节量,并基于路段的剩余容量建立调节量在可控制路段之间的分配方法,优化控制节点的信号方案.以贵阳市的实际数据为例,瓶颈触发使用滚动时间占有率为指标,采用VISSIM仿真软件,结果表明:与采用常规控制方案相比,采用新方案时最大排队长度降低了31.39%,区域车均延误降低了26.00%.
[Abstract]:In order to accurately locate the demand source of the bottleneck section, balance the space-time distribution of the traffic demand of the bottleneck section, and prevent overflow and congestion transfer, This paper proposes a method to search the key traffic path and controllable section of the road bottleneck based on the ODD data extracted from video information to determine the bottleneck control node, which takes the upstream area as the control object, and takes the upstream area as the control object, taking the upstream area as the control object. Aiming at dissipating the bottleneck of the road within a specific time, the total regulation of the flow into the road is estimated, and the allocation method of the regulating amount among the controllable sections is established based on the residual capacity of the section, and the signal scheme of the control node is optimized. Taking the actual data of Guiyang as an example, the rolling time occupation rate of bottleneck trigger is used as the index, and the simulation software VISSIM is used. The results show that compared with the conventional control scheme, The maximum queue length of the new scheme was reduced by 31.39 points, and the average delay of regional vehicles was reduced by 26.00.
【作者单位】：浙江大学建筑工程学院;浙江大学海洋学院;北方工业大学城市道路交通智能控制技术北京市重点实验室;
【基金】：国家自然科学基金项目(61304191;51338008;51208462;51278455) 浙江省重点科技创新团队项目(2013TD09) 城市道路交通智能控制技术北京市重点实验室开放课题杭州市重大科技创新项目(20142013A57)
【分类号】：U491

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