紧急交通流信号控制优先级划分模型

发布时间：2018-03-29 00:31

本文选题：交通工程　切入点：优先控制　出处：《东南大学学报(自然科学版)》2014年01期

【摘要】：针对紧急交通流优先控制对城市常态交通干扰导致的拥堵问题,提出了一种面向紧急交通流分级优先控制的优先级划分模型.基于模糊理论,建立了考虑紧急交通流优先需求强度与优先控制影响强度的紧急交通流信号控制优先级多层模糊划分模型.模型中第1层用于判断紧急交通流优先需求强度,第2层用于评估紧急交通流优先控制对背景交通流的影响强度,第3层用于确定最终的优先级别,并据此选择相应的信号优先控制策略.依据实地采集的数据,建立了微观仿真实验模型.仿真结果表明,这种多层模糊模型能够输出紧急交通流优先级别划分的满意解,使高优先级紧急交通流的行程时间下降27.5%,低优先级紧急交通流优先控制导致的车均延误下降25.9%.
[Abstract]:In order to solve the congestion problem caused by emergency traffic flow priority control, a priority partitioning model for emergency traffic flow hierarchical priority control is proposed, which is based on fuzzy theory. An emergency traffic flow signal control priority multi-layer fuzzy partition model considering priority demand intensity and priority control impact intensity is established. The first layer of the model is used to judge the priority demand intensity of emergency traffic flow. The second layer is used to assess the impact of emergency traffic flow priority control on the background traffic flow, the third layer is used to determine the final priority level, and the corresponding signal priority control strategy is selected based on the data collected in the field. The microscopic simulation experiment model is established. The simulation results show that the multi-layer fuzzy model can output the satisfactory solution of the priority division of emergency traffic flow. The travel time of the high priority emergency traffic flow is reduced by 27.5. the delay caused by the priority control of the low-priority emergency traffic flow is reduced by 25.9.
【作者单位】：同济大学交通运输工程学院;
【基金】：国家高技术研究发展计划(863计划)资助项目(2012AA112306)
【分类号】：U491.54

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