吉林大学学报(工学版) ›› 2019, Vol. 49 ›› Issue (3): 695-704.doi: 10.13229/j.cnki.jdxbgxb20180152

• • 上一篇    下一篇

面向混合交通的感应式交通信号控制方法

罗小芹(),王殿海(),金盛   

  1. 浙江大学 建筑工程学院, 杭州 310058
  • 收稿日期:2018-02-08 出版日期:2019-05-01 发布日期:2019-07-12
  • 通讯作者: 王殿海 E-mail:luoxiaoqin@zju.edu.cn;wangdianhai@zju.edu.cn
  • 作者简介:罗小芹(1992?),女,博士研究生. 研究方向:交通控制,交通流理论. E?mail:luoxiaoqin@zju.edu.cn
  • 基金资助:
    浙江省重点研发计划项目(2018C01007)

Traffic signal actuated control at isolated intersections for heterogeneous traffic

Xiao⁃qin LUO(),Dian⁃hai WANG(),Sheng JIN   

  1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2018-02-08 Online:2019-05-01 Published:2019-07-12
  • Contact: Dian?hai WANG E-mail:luoxiaoqin@zju.edu.cn;wangdianhai@zju.edu.cn

摘要:

为解决城市道路混合交通场景中,依据机动车交通流进行信号配时的设计方法无法兼顾非机动车交通流,且可能降低机动车交通流运行效率的问题,提出了以单点优化方法以及感应控制原理为基础的面向混合交通的感应式交通信号控制方法。在实施感应控制流程之前,根据热成像检测器的实时数据,结合以交通强度为核心指标的单点优化方法确定各相位的基准绿灯时间;在基准绿灯时间的基础上,确定各相位的初始绿灯时间以及最大绿灯时间,作为感应控制阶段的关键参数。用实际数据对本文方法进行合理性分析,结果表明混合交通中非机动车流对交通状态具有一定的影响,可以通过考虑非机动车的影响确定感应控制中的关键参数。此外,还通过算例设计对所提混合交通强度指标进行了脱机验证,结果表明:考虑非机动车影响的混合交通强度指标较原有交通强度指标能够更好地反映交叉口状态,使单点优化控制下的交叉口车均延误下降了7.69%;根据混合交通强度计算得到的感应控制的最大绿灯时间,可使调查路段的过饱和周期比例下降80.77%。

关键词: 交通运输系统工程, 混合交通, 感应式交通信号控制, 孤立交叉口, 交通强度, 占用时间

Abstract:

In heterogeneous traffic conditions, the designs of signal timings were based on motor traffic flows in most traditional signal control methods, which may reduce the motor vehicles′ operating efficiencies and hinder the traffic engineers from finding the optimal signal timings. Therefore, a traffic signal actuated control method for heterogeneous traffic was proposed, which targets on motor and non?motorized vehicle traffic flows at isolated intersections. This method combined an optimization algorithm and an actuated control logic. The basic green time of each phase was optimized according to the real?time data obtained from the heat?imaging traffic detectors. Then, the initial green time and the maximum green time of each phase, the key parameters of the actuated control, were formulated as the expansions of the basic green time. The method was evaluated using field data, and the rationality analysis shows that the non?motorized vehicles in heterogeneous traffic have an influence on the traffic flows. In addition, an offline verification was designed, and the results show that the average vehicle delay is reduced by 7.69% when considering the non?motor vehicles in the optimization algorithm, while the proportion of oversaturated cycles is decreased by 80.77% under the actuated control.

Key words: engineering of communication and transportation system, heterogeneous traffic, traffic signal actuated control, isolated intersection, traffic intensity, occupancy time

中图分类号: 

  • U491

图1

热成像检测器示意图"

图2

感应控制流程图"

图3

调查路段示意图"

图4

非机动车流量与占用时间差的相关性分析"

表2

回归模型t统计量结果"

qbqvlanetime
t统计量29.323.488.26-0.10
P5.08×10-1105.50×10-41.34×10-152.52×10-2

表1

不同对比组的相关系数"

区分车道区分时段区分流量
车道1车道2车道3时段1时段2流量1流量2

相关

系数

0.920.750.720.800.720.680.82

图5

不同车道中非机动车流量对占用时间差的影响"

图6

不同时段中非机动车流量对占用时间差的影响"

图7

不同机动车流量中非机动车流量对占用时间差的影响"

表3

信号配时结果对比"

编号周期时长/s

相位1

绿灯时间/s

相位2

绿灯时间/s

相位3

绿灯时间/s

c2c1g2g1g2g1g2g1
16262242517162121
26160171718182625
36060171719182425
46362222219202220
56464202023232121
67978232423243330
77263262022222421
87165222024242521
97972222325203229
107066191821203028
117471242425242523
127471222026262625
138080272627272627
147777232327262728
156161181919182424
166060232314152322

表4

各相位的车均延误"

编号

交叉口

车均延误/s

相位1

车均延误/s

相位2

车均延误/s

相位3

车均延误/s

d2d1d2d1d2d1d2d1
15656212177787575
25758585764634955
35251484853535453
45252222264546574
55353363646467878
65047302562525661
74952193353427377
85154293448427383
93953324051663858
104750514755513751
11404922248467379
12254133026375861
134552272754535678
146259545451518071
153949243755563855
164347212157695859
1 李显生,孟凡淞,郑雪莲,等. 交通冲突类型对驾驶人生理特性的影响[J]. 浙江大学学报:工学版,2017,51(9):1720⁃1726.
LiXian⁃sheng,MengFan⁃song,ZhengXue⁃lian,et al. Influence of traffic types on drivers’s physiological characteristics[J]. Journal of Zhejiang University(Engineering Science),2017,51(9):1720⁃1726.
2 刘泓,王慧,沈逢春. 基于混合交通流下的交叉口延误[J]. 吉林大学学报:工学版, 2011, 41(增刊1): 72⁃75.
LiuHong,WangHui,ShenFeng⁃chun. Traffic delay for mixed⁃traffic flow at intersections[J]. Journal of Jilin University(Engineering and Technology Edition),2011,41(Sup.1):72⁃75.
3 梁春岩,王春光,沈战,等. 机非混行交叉口右转机动车行程时间计算方法[J]. 吉林大学学报:工学版,2007,37(5):1053⁃1057.
LiangChun⁃yan,WangChun⁃guang,ShenZhan,et al. Calculation method of travel time of right⁃turn vehicle at motor⁃and⁃nonmotor⁃vehicle mixed traffic intersection[J]. Journal of Jilin University(Engineering and Technology Edition),2007,37(5):1053⁃1057.
4 MallikarjunaC,RaoK R. Heterogeneous traffic flow modelling: a complete methodology[J]. Transportmetrica,2011,7(5):321⁃345.
5 RadhakrishnanS,RamaduraiG. Discharge headway model for heterogeneous traffic conditions[J]. Transportation Research Procedia,2015,10:145⁃154.
6 RenG,JiangH,ChenJ X,et al. Heterogeneous cellular automata model for straight⁃through bicycle traffic at signalized intersection[J]. Physica A—Statistical Mechanics and its Applications,2016,451:70⁃83.
7 LuoY,JiaB,LiuJ,et al. Modeling the interactions between car and bicycle in heterogeneous traffic[J]. Journal of Advanced Transportation,2015,49(1):29⁃47.
8 ChenQ,WangY. A cellular automata (CA) model for motorized vehicle flows influenced by bicycles along the roadside[J]. Journal of Advanced Transportation,2016,50(6):949⁃966.
9 魏丽英,吕凯. 信号交叉口处自行车交通流的跟驰行为[J]. 吉林大学学报:工学版,2008,38(1):53⁃56.
WeiLi⁃ying,KaiLü . Bicycle following behavior at signalized intersection[J]. Journal of Jilin University(Engineering and Technology Edition),2008,38(1):53⁃56.
10 WangD,FengT,LiangC. Research on bicycle conversion factors[J]. Transportation Research Part A—Policy and Practice,2008,42(8):1129⁃1139.
11 徐程,曲昭伟,王殿海,等. 混合自行车交通流速度分布模型[J]. 浙江大学学报:工学版,2017,51(7):1331⁃1338.
XuCheng,QuZhao⁃wei,WangDian⁃hai, et al. Speed distribution for heterogeneous bicycle traffic flow[J]. Journal of Zhejiang University(Engineering Science),2017,51(7):1331⁃1338.
12 JinS,QuX B,ZhouD,et al. Estimating cycleway capacity and bicycle equivalent unit for electric bicycles[J]. Transportation Research Part A—Policy and Practice,2015,77:225⁃248.
13 QiaoJ G,HuP,YuD. Optimization of signal timing for the mixed traffic flow in VISSIM simulation environment[J]. Applied Mechanics and Materials,2013,253⁃255:1726⁃1730.
14 姚荣涵,刘美妮,徐洪峰. 信号控制交叉口车均延误模型适用性分析[J]. 吉林大学学报:工学版,2016,46(2):390⁃398.
YaoRong⁃han,LiuMei⁃ni,XuHong⁃feng. Applicability studies of vehicle delay models for isolated signalized intersections[J]. Journal of Jilin University(Engineering and Technology Edition),2016,46(2):390⁃398.
15 王殿海,金盛,宋现敏,等. 城市混合交通控制设计理念与方法[J]. 城市交通,2008,6(2):16⁃22.
WangDian⁃hai,JinSheng,SongXian⁃ming,et al. Ideas and methods for fixed urban traffic control[J]. Urban Transport of China,2008,6(2):16⁃22.
16 邵锋,查伟雄. 基于单路口感应控制系统的单位绿灯延时研究[J]. 华东交通大学学报,2008,25(1):37⁃40.
ShaoFeng,ZhaWei⁃xiong. Research on extension green time based on actuated⁃control system for isolated intersection[J]. Journal of East China Jiaotong University,2008,25(1):37⁃40.
17 ZhangG H,WangY H. Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections[J]. IEEE Transactions on Intelligent Transportation Systems,2011,12(1):164⁃173.
18 栗红强. 城市交通控制信号配时参数优化方法研究[D]. 长春:吉林大学交通学院,2004.
LiHong⁃qiang. Study on the optimization methods of signal timing parameters of urban traffic control[D]. Changchun: College of Transportation,Jilin University,2004.
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