[1]王嘉文,马万经,杨晓光.紧急交通流信号控制优先级划分模型[J].东南大学学报(自然科学版),2014,44(1):222-226.[doi:10.3969/j.issn.1001-0505.2014.01.040]
 Wang Jiawen,Ma Wanjing,Yang Xiaoguang.Priority degree partition model for emergency traffic flow preemption control[J].Journal of Southeast University (Natural Science Edition),2014,44(1):222-226.[doi:10.3969/j.issn.1001-0505.2014.01.040]
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紧急交通流信号控制优先级划分模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第1期
页码:
222-226
栏目:
交通运输工程
出版日期:
2014-01-18

文章信息/Info

Title:
Priority degree partition model for emergency traffic flow preemption control
作者:
王嘉文马万经杨晓光
同济大学交通运输工程学院, 上海 201804
Author(s):
Wang Jiawen Ma Wanjing Yang Xiaoguang
School of Transportation Engineering, Tongji University, Shanghai 201804, China
关键词:
交通工程 优先控制 多层模糊模型 紧急交通流 优先级
Keywords:
traffic engineering preemption control multilayer fuzzy model emergency traffic flow priority
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2014.01.040
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:
To relieve the city normal traffic congestion caused by the interference of emergency traffic flow, a priority degree partition model for emergency traffic flow preemption control is presented. Based on the fuzzy theory, the multilayer fuzzy model of emergency traffic flow preemption signal control priority is established considering emergency traffic flow preemption demand intensity and emergency traffic flow preemption control influence intensity. The emergency traffic flow preemption demand intensity is discriminated in the first layer of the fuzzy model, and the emergency traffic flow preemption control influence intensity is evaluated in the second layer. Besides, different signal control strategies based on the emergency traffic flow priority are calculated in the third layer of the fuzzy model. A microscopic simulation model based on field data is set up. The simulation results show that the multilayer fuzzy model can output satisfied solutions of emergency traffic flow priority partition, reducing the high-priority emergency traffic flow travel time by 27.5% and decreasing the overall car delay due to low-priority emergency traffic flow preemption control by 25.9%.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-05-02.
作者简介: 王嘉文(1989—),男,博士生;马万经(联系人),男,博士,副教授,博士生导师, mawanjing@tongji.edu.cn.
基金项目: 国家高技术研究发展计划(863计划)资助项目(2012AA112306).
引用本文: 王嘉文,马万经,杨晓光.紧急交通流信号控制优先级划分模型[J].东南大学学报:自然科学版,2014,44(1):222-226. [doi:10.3969/j.issn.1001-0505.2014.01.040]
更新日期/Last Update: 2014-01-20