Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (3): 695-704.doi: 10.13229/j.cnki.jdxbgxb20180152

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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

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

CLC Number: 

  • U491

Fig.1

Schematic diagram of heat?imaging trafficdetectors"

Fig.2

Flow chart of actuated control"

Fig.3

Schematic diagram of investigation section"

Fig.4

Relationship between non?motorized vehicles’ volumes and occupancy time differences"

Table 2

t?test results of regression model"

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

Table 1

Correlation coefficient of comparison groups"

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

Fig.5

Relationship between non?motorized vehicles’ volumes and occupancy time differences in different lanes"

Fig.6

Relationship between non?motorized vehicles’ volumes and occupancy time differences in different periods"

Fig.7

Relationship between non?motorized vehicles’ volumes and occupancy time"

Table 3

Comparison of signal timing"

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

Table 4

Average delay of each phase"

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
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