Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (11): 3088-3103.doi: 10.13229/j.cnki.jdxbgxb.20211414

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Bus speed guidance model based on station capacity limit and section green wave control

Wen-yong LI(),Cong-ruo MA,Qing-wei HU,Cheng-kun LIU,Guan LIAN(),Guo-bin GU,Dan ZHOU   

  1. School of Architecture and Transportation Engineering，Guilin University of Electronic Technology，Guilin 541004，China
  • Received:2021-12-22 Online:2023-11-01 Published:2023-12-06
  • Contact: Guan LIAN E-mail:traffic@guet.edu.cn;lianguan@guet.edu.cn

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Abstract:

To solve the queuing overflow problem of single-berth bus stations at route density points during peak traffic hours under green wave control conditions， a bus speed guidance model is proposed. Define the concept of the bus group to clarify the object of bus group speed guidance scheme. By issuing the speed command at the speed decision point， the front and rear adjacent buses are guided to adjust the headway， and the bus priority strategy is realized. The model is simulated by Vissim software. The simulation results show that after applying the model proposed， the average overlapping delay at stop time of the upstream bus station and the downstream bus station is reduced by 41.02% and 68.68%， respectively. The average stops of bus decreased by 14.46%. The model proposed in this paper can effectively solve the queuing overflow problem of single-berth bus stations in the line overlap interval and improve the section operation efficiency of buses.

Key words: traffic and transportation engineering, traffic control, bus speed guidance, bus station capacity limit, green wave control, public transit priority

CLC Number: 

  • U492.2

Fig.1

Diagram of cooperative vehicle infrastructure system in bus section"

Fig.2

Diagram of bus group and double bus group"

Fig.3

Space-time diagram of green wave coordination optimization model"

Fig.4

Diagram of basic speed guidance model parameters"

Fig.5

Flow charts of bus group guidance control scheme"

Fig.6

Diagram of parameters of bus group speed guidance model"

Fig.7

Speed guidance scheme at the nth bus stop"

Fig.8

Location of section and intersection"

Table 1

Length of each section"

路段编号长度/m
上行方向1630
2520
下行方向1650
2535

Table 2

Traffic volume in each direction of intersection"

交叉口东进口西进口南进口北进口
左直右左直右左直右左直右
1452403--62988169-453---
219290224416271495531341399127492
34531116--835326534-564---

Table 3

Maximum flow ratio of each phase and intersection saturation"

最大流量比交叉口
123
东西直行0.1970.2820.349
东（西）左转0.2920.1240.292
南北直行-0.171-
南（北）左转0.1090.0590.172
交叉口饱和度0.5980.6360.814

Table 4

Coordinated phase signal timing at each intersection"

信号配对交叉口
123
绿灯时长/s303939
黄灯时长/s333
红灯时长/s675858
公共周期/s100100100

Fig.9

Intersection timing chart"

Fig.10

Space-time diagram of green wave control at three intersections in Zhongyin Road"

Table 5

Evaluation index results of green wave control scheme"

信控方式绿波控制前绿波控制后优化效果/%
社会车辆车均延误/s65.1946.3328.93
社会车辆车均停车延误/s43.8327.6336.96
社会车辆车均停车次数1.5721.15326.65
社会车辆平均车速/（km·h-1）23.0926.2213.56
公交车辆车均延误/s102.0485.6416.07
公交车辆车均停车延误/s70.8751.4727.37
公交车辆车均停车次数2.1942.469-12.53
公交车辆平均车速/（km·h-1）13.6514.314.84

Fig.11

Vehicle delay before and after green wave control"

Fig.12

Position of detector in platform"

Table 6

Evaluation index results of speed guidance model"

对比模型双公交车组平均重叠滞站时间/s路段平均 速度/（km·h-1）路段总运行 时间/s路段车均 延误/s路段车均 停车延误/s路段车均 运行延误/s路段车均停车次数
上游公交站下游公交站
优化效果/%41.0268.681.891.65-10.054.35-31.6314.46
速度引导前17.999.1014.3134 286.485.6451.4734.172.469
速度引导后10.612.8514.5833 721.294.2149.2344.982.112

Fig.13

Delay of bus vehicles under the conditions of three types of control methods"

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