Bus Operation Optimization Control Strategy Considering Speed
Regulation and Boarding Guidance

doi:10.16097/j.cnki.1009-6744.2023.06.017

Abstract

Abstract: Improving the uniformity of bus arrival intervals and operational service reliability through effective control strategies is an important way to enhance the quality of bus services and the satisfaction of passengers. First, a bus operation model was developed in consideration of the fluctuation of passenger boarding demand at stops. Second, a bus interval speed regulation strategy was proposed based on travel time deviation feedback mechanism, and then a station passenger information guidance strategy was designed based on the boarding choice behavior model. To minimize passenger travel costs and bus headway deviations, this paper proposed a combination optimization control strategy integrating speed regulation and boarding guidance for bus operation and the solution method. Taking the bus Route No. 57 in Beijing as an example, this paper performed the numerical simulation comparison experiments for four scenarios. The results show that the combination control strategy has the best optimization effect. Compared with the no control strategy, the stability of bus operation has been improved by 47.7% through the proposed method, and the bus bunching on the route was avoided. The comprehensive cost considering travel time and congestion has been reduced by 18.71%. The study also compared the optimization effects of strategies under different passenger income levels and passenger guidance information compliance rates. The results show that the effect of information guidance strategies on reducing total travel costs reduce as income levels increase. When the passenger guidance information compliance rate is 0.7. The combination control strategy has the most significant improvement effect on bus operation and passenger travel. This study can provide important support for the bus operation reliability and service quality improvement.

Key words: urban traffic, bus control strategy, numerical simulation, interval speed regulation, travel information guidance

摘要： 通过有效的精准控制策略提升公交车辆的到站间隔匀整度和运行服务可靠性是改善公交服务质量，提升公交乘客出行满意度的重要途径。首先，本文考虑站点乘客上车需求波动构建公交运行模型；其次，提出基于时间偏差反馈机制的公交区间行驶速度调控策略和基于乘车选择行为模型的公交站点乘客信息引导策略；最后，以最小化乘客出行成本和车头时距偏差为目标，构建融合车速调控和乘车引导的公交运行组合优化控制策略，并设计了求解方法。以北京公交57路为例，设计4种情形的数值仿真对比实验。仿真结果表明，组合控制策略的优化效果最佳，相比于无控制策略，公交运行稳定性提升了47.70%，避免了线路的串车发生，考虑出行时间与拥挤程度的综合成本减少了18.71%。本文还比较了不同乘客收入水平和乘客引导信息服从率下策略的化效果。结果表明，随着收入水平的提升，信息引导策略对总出行成本降低效果减弱，当乘客引导信息服从率为0.7时，组合控制策略对公交运行和乘客出行的改善效果最显著。本文可以为提升公交运行可靠性和服务质量提供重要支撑。

关键词: 城市交通, 公交控制策略, 数值仿真, 区间速度调控, 乘车信息引导

CLC Number:

U121

WENG Jian-cheng, LI Wen-jie, LIN Peng-fei, DI Xiao-jian, XU Li-quan. Bus Operation Optimization Control Strategy Considering Speed Regulation and Boarding Guidance[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 165-175.

翁剑成, 李文杰, 林鹏飞, 邸小建, 徐立泉. 考虑车速调控和乘车引导的公交运行优化控制策略[J]. 交通运输系统工程与信息, 2023, 23(6): 165-175.

Add to citation manager EndNote|Ris|BibTeX

URL: http://www.tseit.org.cn/EN/10.16097/j.cnki.1009-6744.2023.06.017

http://www.tseit.org.cn/EN/Y2023/V23/I6/165

References

[1] DAGANZO C F. A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons[J]. Transportation Research Part B: Methodological, 2009, 43(10): 913-921.

[2] HE S X, LIANG S D, DONG J, et al. A holding strategy to resist bus bunching with dynamic target headway[J]. Computers & Industrial Engineering, 2020, 140: 106237.

[3] GKIOTSALITIS K, VAN BERKUM E C. An analytic solution for real-time bus holding subject to vehicle capacity limits[J]. Transportation Research Part C: Emerging Technologies, 2020, 121: 102815.

[4] 代壮, 陈汐, 马晓磊. 基于合作博弈的公交滞站点优化模型[J]. 交通运输系统工程与信息, 2019, 19(5): 135- 141. [DAI Z, CHEN X, MA X L. A cooperative gamebased holding-point optimization model for bus bunching [J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5): 135-141.]

[5] 刘明卉. 基于甩站策略的城市公交服务可靠性研究[D]. 北京: 北京邮电大学, 2012. [LIU M H. Transit service reliability based on stops-skipping strategy[D]. Beijing: Beijing University of Posts and Telecommunications, 2012.]

[6] 吴晨玮. 公交线路上公交车能耗及控制策略研究[D]. 北京: 北京交通大学, 2016. [WU C W. Study on energy consumption and control strategies for bus route system [D]. Beijing: Beijing Jiaotong University, 2016.]

[7] 严海, 刘润坤. 基于实时信息的公交运行速度控制策略与算法研究[J]. 交通运输系统工程与信息, 2018, 18 (4): 61- 68. [YAN H, LIU R K. Bus speed control strategy and algorithm based on real-time information[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(4): 61-68.]

[8] 滕靖, 金威敏. 基于区间车速引导的公交运行控制方法[J]. 同济大学学报(自然科学版), 2015, 43(8): 1194- 1199. [TENG J, JIN W M. A section-speed guiding method for bus operation control[J]. Journal of Tongji University(Natural Science), 2015, 43(8): 1194-1199.]

[9] 尚春琳, 刘小明, 田玉林, 等. 基于分级多目标决策的干线公交速度引导模型[J]. 交通运输系统工程与信息, 2021, 21(2): 145-150, 157. [SHANG C L, LIU X M, TIAN Y L, et al. Hierarchical multi-objective model for arterial dedicated bus speed optimization[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(2): 145-150, 157.]

[10] FONZONE A, SCHMÖCKER J D, LIU R. A model of bus bunching under reliability-based passenger arrival patterns[J]. Transportation Research Part C: Emerging Technologies, 2015, 59: 164-182.

[11] ENAYATOLLAHI F, IDRIS A O, ATASHGAH M A A. Modelling bus bunching under variable transit demand using cellular automata[J]. Public Transport, 2019, 11(2): 269-298.

[12] MA Q, LI S, ZHANG H, et al. Robust optimal predictive control for real-time bus regulation strategy with passenger demand uncertainties in urban rapid transit[J]. Transportation Research Part C: Emerging Technologies, 2021, 127: 103086.

[13] 李悦超, 杨海飞, 郑长江. 基于乘客到站率的公交发车频率优化[J]. 华东交通大学学报, 2021, 38(1): 54-60. [LI Y C, YANG H F, ZHENG C J. Optimization of bus departure frequency based on passenger arrival rate[J]. Journal of East China Jiaotong University, 2021, 38(1): 54-60.]

[14] GKIOTSALITIS K. A model for the periodic optimization of bus dispatching times[J]. Applied Mathematical Modelling, 2020, 82: 785-801.

[15] WU W, LIU R, JIN W. Modelling bus bunching and holding control with vehicle overtaking and distributed passenger boarding behaviour[J]. Transportation Research Part B: Methodological, 2017, 104: 175-197.

[16] YU B, LI T, KONG L, et al. Passenger boarding choice prediction at a bus hub with real-time information[J]. Transportmetrica B: Transport Dynamics, 2015, 3(3): 192-221.

[17] 王鹏飞. 实时供需信息条件下城市公交运营优化策略研究 [D]. 南京: 东南大学, 2021. [WANG P F. Operational optimization strategies of bus transit under real-time supply and demand information [D]. Nanjing: Southeast University, 2021.]

[18] ZHOU C, TIAN Q, WANG D Z W. A novel control strategy in mitigating bus bunching: Utilizing real-time information[J]. Transport Policy, 2022, 123: 1-13.

[19] 宗刚, 曾庆华, 魏素豪. 基于时间价值的交通出行方式选择行为研究[J]. 管理工程学报, 2020, 34(3): 142- 150. [ZONG G, ZENG Q H, WEI S H. Research on transportation mode selection behavior based on time value[J]. Journal of Industrial Engineering/Engineering Management, 2020, 34(3): 142-150.]

Bus Operation Optimization Control Strategy Considering Speed Regulation and Boarding Guidance

考虑车速调控和乘车引导的公交运行优化控制策略

PDF

PDF(English version)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

[1]	ZHOU Bei, ZHANG Ying, ZHANG Shengrui, ZHOU Qianxi, WANG Qin. Rear-end Crash Data Imputation Methods Using Generative Adversarial Networks [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 132-137.
[2]	WANG Weili, XIAO Yuqing, ZHOU Hui, ZHANG Weisi. Conflict Analysis of Electric Bicycle and Vehicle at Unsignalized Intersection Based on Game Theory [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 149-158.
[3]	HU Liwei, ZHANG Ruijie, ZHAO Xueting, HE Yu, CHEN Chen, LIU Bing, HOU Zhi. Roundabout Motor Vehicle Conflict Risk Identification Model [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 168-178.
[4]	ZHANG Yinggui, ZHAO Minghui, ZHANG Yunli. Simulation Research on Train Group Tracking Operation with Virtual Coupling for Urban Mass Rail Transit [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 199-209.
[5]	HAO Yanxi, WEI Shutong, HU Hua, WANG Runqi, LIU Zhigang. An Entry and Exit Model for Mobility-impaired Passengers in Subway Stations [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 210-220.
[6]	WENG Jiancheng, ZHANG Yunfei, LIN Pengfei, LI Wenjie. Healthcare Accessibility for the Elderly by Bus Based on Inferring Seeking Healthcare Activities [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 221-229.
[7]	SUN Xiaohui, HUANG Chengyun. An Empirical Study on Locating and Sizing of Take-out Delivery Electric Bicycle Battery Swapping Cabinets [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 230-239.
[8]	GE Xianlong, WANG Bo, YANG Yushu, YANG Tanyue, YIN Zuofa. Coordinated Charging Schedule Optimization for Electric Vehicles Considering Travel Characteristics [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 240-252.
[9]	WU Jingxian, TANG Guikong, LI Wenxiang. Nonlinear Effect of Built Environment on Bike-sharing Ridership at Different Time Periods: A Case Study from Shanghai [J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1): 290-298.
[10]	DENG Mao-ying, DENG Ce-fang. Evaluation of Road Network Density Based on Structure, Efficiency, Fairness and Resilience [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 22-32.
[11]	JING Bin-bin, LIN Yong-jie, YAN Zhu-hao, HUANG Zheng-jie. Concurrent Optimization of Path Selection and Bandwidth-based Coordination for an Unclosed Traffic Network [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 51-62.
[12]	ZHANG Bing, TAO Wen-kang, LIU Jian-rong, XUE Yun-qiang, DENG Ming-jun. Nested Logit Model of Elderly Travel Mode Choice Based on Boundedly Rationality [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 74-82.
[13]	PENG Jin-shuan, YUAN Hao, SONG Zhen, FAN Zi-bin, YANG Xiang-hao, ZHANG Lei. Effect of Cell Phone Use on Pedestrian Crossing Risk During Waiting Stage [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 83-89.
[14]	ZHANG Wen-hui, XU Hai-bin, ZHOU Ge, WEN Wen. Evaluation Model for Pedestrian Vehicle Conflict Degree at Signalized Intersections [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 89-99.
[15]	WANG Yi-fan, CHEN Xue-wu. Bus Stop Ridership Impact Factors Analysis Considering Spatial Effects [J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(6): 153-164.