[1]杭佳宇,王嘉文,葛淼彦.基于模拟退火算法的事件影响交叉口可靠性优化方法[J].常州大学学报(自然科学版),2023,35(05):83-92.[doi:10.3969/j.issn.2095-0411.2023.05.011]
　HANG Jiayu,WANG Jiawen,GE Miaoyan.Optimization method for intersection reliability under the influence of traffic incidents based on simulated annealing algorithm[J].Journal of Changzhou University(Natural Science Edition),2023,35(05):83-92.[doi:10.3969/j.issn.2095-0411.2023.05.011]
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基于模拟退火算法的事件影响交叉口可靠性优化方法()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第35卷
期数:
2023年05期
页码:
83-92
栏目:
机械制造及其自动化
出版日期:
2023-09-28

文章信息/Info

Title:
Optimization method for intersection reliability under the influence of traffic incidents based on simulated annealing algorithm
文章编号:
2095-0411(2023)05-0083-10
作者:
杭佳宇1; 王嘉文2; 葛淼彦1
(1.常州大学 机械与轨道交通学院, 江苏 常州 213164; 2.上海理工大学 管理学院, 上海 200093)
Author(s):
HANG Jiayu1;  WANG Jiawen2;  GE Miaoyan1
(1.School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China; 2.Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
关键词:
信号交叉口;  交通事件;  行程时间可靠性;  可靠性优化;  模拟退火算法
Keywords:
signal control intersection;  traffic incident;  travel time reliability;  reliability optimization;  simulated annealing algorithm
分类号:
U 491
DOI:
10.3969/j.issn.2095-0411.2023.05.011
文献标志码:
A
摘要:
行程时间可靠性是评价交叉口运行效率的关键指标,交通事件是造成交叉口拥堵的主要因素之一。研究一种适用于受交通事件影响的交叉口行程时间可靠性优化方法,将有助于提高交叉口的运行可靠性,防止事件造成交叉口拥堵蔓延。考虑交通事件发生位置对交叉口运行的影响,假设车辆的车头时距服从M3分布,根据间隙接受理论和车辆到达累积曲线推导队列长度的计算公式。所提优化模型将车辆排队长度作为约束,能够使交叉口行程时间可靠性最优,采用模拟退火算法求解该模型。数值结果表明,当交通事件发生在交叉口进口道时,对行程时间可靠性的影响更严重。所提方法能够有效改善事件影响下的交叉口行程时间可靠性,缓解事故造成的交叉口拥堵。
Abstract:
Travel time reliability is a key index to evaluate the intersection operational efficiency, and traffic incidents are one of the main factors causing intersection congestion. The study of an optimization method for intersection travel time reliability influenced by traffic incidents can help to improve the operation reliability of intersections and prevent the spread of congestion caused by traffic incidents. In this paper, the influence of the location of traffic incidents on the intersection operation was considered, assuming that the headway of the vehicle obeys the M3 distribution, and the calculation formula of the queue length was derived according to the gap acceptance theory and the vehicle arrival cumulative curve. The proposed optimization model takes the vehicle queue length as a constraint, which can optimize the reliability of intersection travel time. The simulated annealing algorithm was used to solve the model. The numerical results showed that the impact on travel time reliability was more serious when traffic incidents occured at the intersection approach. This method can effectively improve the reliability of intersection travel time under the influence of traffic incidents and alleviate the intersection congestion.

参考文献/References:

[1] FEI W P, SONG G H, ZHANG F, et al. Practical approach to determining traffic congestion propagation boundary due to traffic incidents[J]. Journal of Central South University, 2017, 24(2): 413-422.
[2] SUN C S, PEI X, HAO J H, et al. Role of road network features in the evaluation of incident impacts on urban traffic mobility[J]. Transportation Research Part B: Methodological, 2018, 117: 101-116.
[3] BIE Y M, WANG D H, QU X B. Modelling correlation degree between two adjacent signalised intersections for dynamic subarea partition[J]. IET Intelligent Transport Systems, 2013, 7(1): 28-35.
[4] XU H T, CHEN J, XU J E. Integration of model-based signal control and queue spillover control for urban oversaturated signalized intersection[J]. Mathematical Problems in Engineering, 2019, 2019: 1-15.
[5] LI R M, PEREIRA F C, BEN-AKIVA M E. Overview of traffic incident duration analysis and prediction[J]. European Transport Research Review, 2018, 10(2): 1-13.
[6] AHMED F, HAWAS Y E. An integrated real-time traffic signal system for transit signal priority, incident detection and congestion management[J]. Transportation Research Part C: Emerging Technologies, 2015, 60: 52-76.
[7] LU Q A, KIM K D. A genetic algorithm approach for expedited crossing of emergency vehicles in connected and autonomous intersection traffic[J]. Journal of Advanced Transportation, 2017, 2017: 1-14.
[8] YAGAR S, HAN B. A procedure for real-time signal control that considers transit interference and priority[J]. Transportation Research Part B: Methodological, 1994, 28(4): 315-331.
[9] SHEIKH M S, LIANG J, WANG W S. An improved automatic traffic incident detection technique using a vehicle to infrastructure communication[J]. Journal of Advanced Transportation, 2020, 2020: 1-14.
[10] LIU Z H, WANG C. Design of traffic emergency response system based on internet of things and data mining in emergencies[J]. IEEE Access, 2019, 7: 113950-113962.
[11] KONG X J, GAO H R, ALFARRAJ O, et al. Hierarchical urban anomaly detection based on spatio-temporal data[J]. IEEE Access, 2020, 8: 26573-26582.
[12] 王嘉文, 杭佳宇, 李思洁, 等. 自适应信号控制交叉口行程时间可靠性[J]. 系统工程, 2020, 38(5): 109-117.
[13] HANG J Y, ZHOU X Z, WANG J W. Modeling traffic function reliability of signalized intersections with control delay[J]. Advances in Civil Engineering, 2020, 2020: 1-13.
[14] BOARD T R. Highway capacity manual[M]. Washington: Transportation Research Board, 2010.
[15] XIANG Y, GUBIAN S, SUOMELA B, et al. Generalized simulated annealing for global optimization: the GenSA package[J]. The R Journal, 2013, 5(1): 13.
[16] RABBOUCH B, SAÂDAOUI F, MRAIHI R. Empirical-type simulated annealing for solving the capacitated vehicle routing problem[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2020, 32(3): 437-452.
[17] WANG J W, HANG J Y, ZHOU X Z. Signal timing optimization model for intersections in traffic incidents[J]. Journal of Advanced Transportation, 2020, 2020: 1-9.

备注/Memo

备注/Memo:
收稿日期: 2023-01-15。
基金项目: 2022年科研启动经费资助项目(ZMF22020087)。
作者简介: 杭佳宇(1992—), 女, 江苏丹阳人, 博士, 讲师。E-mail: hangjiayu@cczu.edu.cn
更新日期/Last Update: 1900-01-01