[1]李珣,马文哲,赵征凡,等.车路协同下基于行车指引的改进STCA双车道换道模型[J].东南大学学报(自然科学版),2020,50(6):1134-1142.[doi:10.3969/j.issn.1001-0505.2020.06.021]
 Li Xun,Ma Wenzhe,Zhao Zhengfan,et al.Improved STCA lane changing model for two-lane road based on driving guidance under CVIS[J].Journal of Southeast University (Natural Science Edition),2020,50(6):1134-1142.[doi:10.3969/j.issn.1001-0505.2020.06.021]
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车路协同下基于行车指引的改进STCA双车道换道模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
50
期数:
2020年第6期
页码:
1134-1142
栏目:
出版日期:
2020-11-20

文章信息/Info

Title:
Improved STCA lane changing model for two-lane road based on driving guidance under CVIS
作者:
李珣12马文哲1赵征凡3张凯兵1王晓华1
1 西安工程大学电子信息学院, 西安 710048; 2 Bernoulli Institute Faculty of Science and Engineering, University of Groningen, Groningen 9747AG, Netherlands; 3工业和信息化部电子第五研究所, 广州 510610
Author(s):
Li Xun12 Ma Wenzhe1 Zhao Zhengfan3 Zhang Kaibing1 Wang Xiaohua1
1School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China
2Bernoulli Institute Faculty of Science and Engineering, University of Groningen, Groningen 9747AG, Netherlands
3Fifth Institute of Electronics, Ministry of Industry and Information Technology, Guangzhou 510610, China
关键词:
交通工程 微观交通对象 车路协同 元胞自动机模型 换道模型
Keywords:
traffic engineering microscopic traffic object cooperative vehicle infrastructure system(CVIS) cellular automaton model lane changing model
分类号:
495.1
DOI:
10.3969/j.issn.1001-0505.2020.06.021
摘要:
为提供一种车路协同交通环境可采用的换道规则,提出了一种基于行车指引的改进STCA双车道换道模型STCA-M.首先,对车路协同交通环境中的车辆间关系进行分析,根据位置、速度、加速度等需交互的基本信息构造了威胁评价函数;其次,根据动态安全距离和路段实时拥堵状态建立双车道车辆行车指引函数,提供诱导车速和换道指引.最后,在数值分析中,分别与STCA、STCA-I、STCA-S模型以及混合双车道交通流模型在不同车辆密度下的平均速度、平均流量、换道频率以及时空斑图进行对比.结果表明,STCA-M模型的换道频率较STCA-S模型提高了约6.91%,最大平均流量较STCA-I和STCA-S模型分别提高了约21.21%和7.28%.车路协同下的协同换道模型STCA-M能够有效调节双车道路段微观交通对象的运动趋势,提高车辆换道和道路使用效率.
Abstract:
To provide an applicable lane change rule for cooperative vehicle infrastructure system(CVIS)environment, an improved symmetric two-lane cellular automata(STCA)lane changing model STCA-M for two-lane road based on driving guidance was proposed. First, the relationship between vehicles in the CVIS environment was analyzed, and the threat evaluation function was constructed according to the basic information of possible interaction, such as position, speed and acceleration. Secondly, according to the dynamic safety distance and the real-time congestion state of the road section, a two-lane vehicle driving guidance function was established to provide a speed guidance and a lane change guidance. Finally, in the numerical analysis, the average velocity, the average flow rate, the lane change frequency, and the spatial and temporal speckle patterns of STCA, STCA-I, STCA-S, and hybrid two-lane traffic flow models under different vehicle densities were compared. The results show that the channel change frequency of STCA-M model is about 6.91% higher than that of STCA-S model, and the maximum average flow rate is about 21.21% and 7.28% higher than that of STCA-I and STCA-S models, respectively. STCA-M under CVIS can effectively adjust the movement trend of micro-traffic objects in two-lane road section and improve the efficiency of the vehicle lane change and the road use.

参考文献/References:

[1] 张蕾, 朱雪田, 李金艳. 5G网络切片在车路协同系统中的应用研究[J]. 电子技术应用, 2020, 46(1): 12-16.
  Zhang L, Zhu X T, Li J Y. Research on application of network slices in vehicle-road cooperative system[J]. Application of Electronic Technique, 2020, 46(1): 12-16.(in Chinese)
[2] 崔雪薇. 车路协同创未来——智慧公路技术在车路协同中的应用探讨[J]. 中国交通信息化, 2018(12): 22-26. DOI: 10.13439/j.cnki.itsc.2018.12.002.
Cui X W. The future of vehicle-road collaboration: Application of intelligent highway technology in vehicle-road collaboration[J]. China ITS Journal, 2018(12): 22-26. DOI:10.13439/j.cnki.itsc.2018.12.002. (in Chinese)
[3] 陈超, 吕植勇, 付姗姗, 等. 国内外车路协同系统发展现状综述[J]. 交通信息与安全, 2011, 29(1): 102-105, 109.
  Chen C, Lu Z Y, Fu S S, et al. Overview of the development in cooperative vehicle-infrastructure system home and abroad[J]. Journal of Transport Information and Safety, 2011, 29(1): 102-105, 109.(in Chinese)
[4] Tang T Q, Shi W F, Shang H Y, et al. An extended car-following model with consideration of the reliability of inter-vehicle communication[J].Measurement, 2014, 58: 286-293. DOI:10.1016/j.measurement.2014.08.051.
[5] Lee S,Ngoduy D, Keyvan-Ekbatani M. Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways[J]. Transportation Research Part C: Emerging Technologies, 2019, 106: 360-377. DOI:10.1016/j.trc.2019.07.023.
[6] Lombard A,Abbas-Turki A, El-Moudni A. V2V-based memetic optimization for improving traffic efficiency on multi-lane roads[J]. IEEE Intelligent Transportation Systems Magazine, 2020, 12(1): 35-46. DOI:10.1109/mits.2018.2879183.
[7] Li T T, Wu J P, Chan C Y, et al. A cooperative lane change model for connected and automated vehicles[J]. IEEE Access, 2020, 8: 54940-54951. DOI:10.1109/access.2020.2981169.
[8] Chowdhury D, Wolf D E,Schreckenberg M. Particle hopping models for two-lane traffic with two kinds of vehicles: Effects of lane-changing rules[J]. Physica A: Statistical Mechanics and Its Applications, 1997, 235(3/4): 417-439. DOI:10.1016/s0378-4371(96)00314-7.
[9] 王永明, 周磊山, 吕永波. 基于元胞自动机交通流模型的车辆换道规则[J]. 中国公路学报, 2008, 21(1): 89-93.
  Wang Y M, Zhou L S, Lu Y B. Lane changing rules based on cellular automaton traffic flow model[J]. China Journal of Highway and Transport, 2008, 21(1): 89-93.(in Chinese)
[10] 徐洪学, 楚淑芳. 一种基于安全换道距离规则的对称同向双车道交通流模型[J]. 沈阳大学学报(自然科学版), 2016, 28(2): 118-121. DOI: 10.3969/j.issn.2095-5456.2016.02.006.
Xu H X, Chu S F. A symmetric same direction two-lane traffic flow model based on safe lane changing distance rule[J]. Journal of Shenyang University(Natural Science), 2016, 28(2): 118-121. DOI:10.3969/j.issn.2095-5456.2016.02.006. (in Chinese)
[11] 李珣, 曲仕茹, 夏余. 车路协同环境下多车道车辆的协同换道规则[J]. 中国公路学报, 2014, 27(8): 97-104.
  Li X, Qu S R, Xia Y. Cooperative lane-changing rules on multilane under condition of cooperative vehicle and infrastructure system[J]. China Journal of Highway and Transport, 2014, 27(8): 97-104.(in Chinese)
[12] 熊胜辉, 李星毅, 施化吉. 基于元胞自动机的快速路交织区交通流仿真建模[J]. 计算机应用, 2010, 30(2): 551-554, 570.
  Xiong S H, Li X Y, Shi H J. Traffic modeling and simulation of expressway weaving area based on cellular automata[J]. Journal of Computer Applications, 2010, 30(2): 551-554, 570.(in Chinese)
[13] 张存保, 冉斌, 梅朝辉, 等. 车路协同下道路交叉口信号控制优化方法[J]. 交通运输系统工程与信息, 2013, 13(3): 40-45.
  Zhang C B, Ran B, Mei Z H, et al. An optimization method of traffic signal control based on cooperative vehicle infrastructure system[J]. Transportation Systems Engineering and Information, 2013, 13(3): 40-45.(in Chinese)
[14] Laarej A, Karakhi A, Khallouk A, et al. Dissipation energy and satisfaction rate for a two-lane traffic model with two types of vehicles[J]. Chinese Journal of Physics, 2020. DOI:10.1016/j.cjph.2020.05.024.(to appear)
[15] 华雪东, 王炜, 王昊. 考虑车与车互联通讯技术的交通流跟驰模型[J]. 物理学报, 2016, 65(1): 44-55. DOI:10.7498/aps.65.010502.
Hua X D, Wang W, Wang H. A car-following model with the consideration of vehicle-to-vehicle communication technology[J]. Acta Physica Sinica, 2016, 65(1): 44-55. DOI:10.7498/aps.65.010502. (in Chinese)
[16] 李珣. 车路协同下多车道微观交通诱导与控制研究[D]. 西安:西北工业大学, 2015.
  Li X. Research on microscopic traffic guidance and control for multi-lane on cooperative vehicle infrastructure environments[D]. Xi’an: Northwestern Polytechnical University, 2015.(in Chinese)
[17] 李珣, 赵征凡, 刘瑶, 等. 车路协同下带诱导车速的单车道改进NS模型[J]. 公路交通科技, 2018, 35(2): 101-108. DOI: 10.3969/j.issn.1002-0268.2018.02.014.
Li X, Zhao Z F, Liu Y, et al. An improved NS model for single lane with induce speed under situation of cooperative vehicle infrastructure system[J]. Journal of Highway and Transportation Research and Development, 2018, 35(2): 101-108. DOI:10.3969/j.issn.1002-0268.2018.02.014. (in Chinese)

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备注/Memo

备注/Memo:
收稿日期: 2020-05-30.
作者简介: 李珣(1981—),男,博士,副教授,lixun@xpu.edu.cn.
基金项目: 国家自然科学基金资助项目(51905405)、陕西省自然科学基础研究计划资助项目(2019JM-567)、中国纺织工业联合会科技指导性资助项目(2018094).
引用本文: 李珣,马文哲,赵征凡,等.车路协同下基于行车指引的改进STCA双车道换道模型[J].东南大学学报(自然科学版),2020,50(6):1134-1142. DOI:10.3969/j.issn.1001-0505.2020.06.021.
更新日期/Last Update: 2020-11-20