基于时间优化与相位协调的路网交通控制研究
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摘要
针对传统路网规模大且包含大量时变参数造成交通协调控制繁杂等问题,提出了一种将路网分解与模糊算法相结合的子区内外层相位时间、相位类型和相序协调优化的控制策略.以城市中心路口及所延拓的多路口路网为例,通过路网子区的划分,先依据单交叉路口各方向车流量对其内部运用模糊算法建立相应的配时方案,然后根据干道绿通情况来协调设置关联交叉口之间相序调整、速度优化方案,最终将整个路网交通信号灯的复杂控制转换为对路网各交叉口之间的时间优化和相位协调的内外层策略.实验结果表明:该策略在内层单交叉口及外层路网中均能实现协调控制,具有较好的时效性和经济性.
Aiming at the complexity of coordination control caused by the large scale of traditional road network and a large number of time-varying parameters,a control strategy which combines the decomposition of road network with fuzzy algorithm to optimize the phase time,phase type and phase sequence of sub-area inner and outer layer is proposed.Taking the urban central intersection and the extended multi-intersection road network as an example,by dividing the sub-areas of the road network,the corresponding timing scheme is established by applying fuzzy algorithm to each direction traffic flow of the single intersection.Then,according to the green traffic condition of the trunk road,the phase sequence adjustment and speed optimization strategy between the related intersections are coordinated and set up.Finally,the complex control of traffic lights in the whole road network is converted into the inner and outer strategies of time optimization and phase coordination among the intersections of the road network.The experimental results show that the strategy can achieve coordinated control in the inner single intersection and the outer road network,and has certain timeliness and economy.
Aiming at the complexity of coordination control caused by the large scale of traditional road network and a large number of time-varying parameters,a control strategy which combines the decomposition of road network with fuzzy algorithm to optimize the phase time,phase type and phase sequence of sub-area inner and outer layer is proposed.Taking the urban central intersection and the extended multi-intersection road network as an example,by dividing the sub-areas of the road network,the corresponding timing scheme is established by applying fuzzy algorithm to each direction traffic flow of the single intersection.Then,according to the green traffic condition of the trunk road,the phase sequence adjustment and speed optimization strategy between the related intersections are coordinated and set up.Finally,the complex control of traffic lights in the whole road network is converted into the inner and outer strategies of time optimization and phase coordination among the intersections of the road network.The experimental results show that the strategy can achieve coordinated control in the inner single intersection and the outer road network,and has certain timeliness and economy.
引文
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[2]薛小平.交通红绿灯控制算法设计与实现[D].长春:吉林大学,2015.
[3]买买提江·吐尔逊,买买提明·艾尼.拥挤快速路交织区的SUMO仿真及换车道模型优化拥挤快速路交织区的SUMO仿真及换车道模型优化[J].新疆大学学报(自然科学版),2018,35(1):96-101.
[4]张丽霞,唐泽.基于FPGA的遗传算法在交通控制中的应用[J].现代电子技术,2015,38(15):153-157.
[5]王力,李岱,何忠贺,等.基于多智能体分群同步的城市路网交通控制[J].控制理论与应用,2014,31(11):1448-1456.
[6]胡亚琦,胡翔宇,朱强化,等.基于模糊控制算法的城市交通区域协调控制[J].计算机工程与应用,2013,51(7):266-270.
[7]杨艳芳.城市路网交通流分析预测及事故预警方法研究[D].北京:北京交通大学,2017.
[8]叶宝林.城市路网交通信号协调控制理论与方法研究[D].杭州:浙江大学,2015.
[9]张亚军,王洪君.基于多输入多输出被动式室内定位算法研究[J].新疆大学学报(自然科学版),2016,33(3):327-332.
[10]韦凌翔.基于RVM和ARIMA的短时交通流量预测方法研究[D].西安:长安大学,2016.
[11]刘中原,闫学勤,李凤婷.基于多路口车辆滞流量的交通灯协调控制系统设计[J].工业控制计算机,2016,29(10):33-35.
[12]曲大义,万孟飞,王兹林,等.干线协调控制优化及其应用[J].交通运输工程学报,2016,16(5):112-121.