Volume 40 Issue 3
Jun.  2022
Turn off MathJax
Article Contents
Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(3): 154-162
ZHANG Yue, SUN Lishan, KONG Dewen, ZHANG Xin. Accessing the Impacts of Curb Parking Behavior on Traffic Flows Through Cellular Automata Models[J]. Journal of Transport Information and Safety, 2022, 40(3): 154-162. doi: 10.3963/j.jssn.1674-4861.2022.03.016
Citation: ZHANG Yue, SUN Lishan, KONG Dewen, ZHANG Xin. Accessing the Impacts of Curb Parking Behavior on Traffic Flows Through Cellular Automata Models[J]. Journal of Transport Information and Safety, 2022, 40(3): 154-162. doi: 10.3963/j.jssn.1674-4861.2022.03.016
shu

Accessing the Impacts of Curb Parking Behavior on Traffic Flows Through Cellular Automata Models

doi: 10.3963/j.jssn.1674-4861.2022.03.016
  • 1.

    Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China

  • 2.

    Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

  • 3.

    Government Service Center of Beijing Municipal Transport Commission (Beijing Boats Inspection Center), Beijing 100124, China

  • Received Date: 2021-12-30
    Available Online: 2022-07-25
    Abstract
  • Curb parking may lead to several traffic issues, such as queue delay, slow traffic due to low-speed cruising, and reduced road capacity because of excessive parking spaces. In order to mitigate these issues, the impacts of curb parking on traffic flows are studied. Data of vehicle trajectory and speed is collected based on video recognition technique. Then, the characteristics of driving behaviors of the vehicles which use curb parking are analyzed. According to differences of driving behaviors, the process of curb parking is divided into eight steps: driving into the road, cruising for a parking space, finding a parking space, entering the space, parking, leaving the space, merging into traffic, and missing a parking space. Based on extracted data of parking and cruising behaviors of curb parking vehicles, a cellular automata model is proposed by taking multiple features into consideration, including their characteristics of car following, speed correcting, lane changing, and position updating. Time costs of both parking a vehicle and walking to destination are also considered for searching a target parking space. Compared with other vehicles, the impacts of behaviors of curb parking on the following vehicles, i.e., lane changing and lane merging, are analyzed. Besides, parameters of a simulation model are calibrated based on observed data of traffic flow, and the result shows that the degree of fit is 77.6%. Moreover, the influences of cruising speed on road capacity and delay time are analyzed by a simulation under differentiated parking intensities. The results show that delay time first increases, then decreases with the rise of traffic volume at a fixed cruising speed and parking intensity. At a low parking intensity, the impact of cruising speed on road capacity is small. In a scenario of high-volume traffic, when cruising speed declines from 30 km/h to 20 km/h, the saturation flow of outer lanes decreases by 500 veh/h, and the maximum delay time increases by 105 s.

     

    • FullText(HTML)
  • loading
    • References(22)
  • [1]
    SHOUP D C. The high cost of free parking[J]. University of California Transportation Center Working Paper, 2004, 17 (1): 3-20.
    [2]
    SHOUP D C. Cruising for parking[J]. Transport Policy, 2012, 13(6): 479-486.
    [3]
    CHIARA G D, GOODCHILD A. Do commercial vehicles cruise for parking? Empirical evidence from Seattle[J]. Transport Policy, 2020(97): 26-36.
    [4]
    高利平, 孙全欣, 刘明君, 等. 基于路边停车的机非混行延误模型与仿真研究[J]. 系统仿真学报, 2010, 22(3): 804-808. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201003058.htm

    GAO L P, SUN Q X, LIU M J, et al. Delay models and simulation on mixed traffic with curb parking[J]. Journal of System Simulation, 2010, 22(3): 804-808. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ201003058.htm
    [5]
    郭宏伟. 城市路内停车影响的建模与特性分析[D]. 北京: 北京交通大学, 2011.

    GUO H W. Modeling and properties analyzing of the influence of urban on-street parking[D]. Beijing: Beijing Jiaotong University, 2011. (in Chinese)
    [6]
    刘小明, 王力. 考虑路内停车的元胞自动机交通流模型[J]. 吉林大学学报(工学版), 2012, 42(2): 327-333. https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201202013.htm

    LIU X M, WANG L. Cellular automaton traffic flow model considering on-street parking[J]. Journal of Jilin University (Engineering and Technology Edition), 2012, 42(2): 327-333. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201202013.htm
    [7]
    张月, 孔德文, 孙立山, 等. 路侧停车行为对车流行程时间的影响[J]. 交通信息与安全, 2019, 37(5): 107-115. doi: 10.3963/j.issn.1674-4861.2019.05.014

    ZHANG Y, KONG D W, SUN L S, et al. The influence of on-street parking behavior on traffic flow travel time[J]. Journal of Transport Information and Safety, 2019, 37(5): 107-115. (in Chinese) doi: 10.3963/j.issn.1674-4861.2019.05.014
    [8]
    CHEN J, LI Z, JIANG H, et al. Simulating the impacts of on-street vehicle parking on traffic operations on urban streets using cellular automation[J]. Physica A: Statistical Mechanics and its Applications, 2017(468): 880-891.
    [9]
    魏家蓉. 路内停车行为对道路交通流影响的仿真建模研究[D]. 北京: 北京交通大学, 2018.

    WEI J R. Simulation model on traffic impact of curb parking[D]. Beijing: Beijing Jiaotong University, 2011. (in Chinese)
    [10]
    帅文磊. 路内停车对次干路交通流运行特性的影响研究[D]. 福州: 福建农林大学, 2020.

    SHI W L. On-street parking to secondary arterial traffic flow study on the influence of operating charateristics[D]. Fuzhou: Fujian Agriculture and Forestry University. (in Chinese)
    [11]
    KRZYSZTOF M. A computer simulation of traffic flow with on-street parking and drivers'behaviour based on cellular automata and a multi-agent system[J]. Journal of Computational Science, 2018(28): 32-42.
    [12]
    裴玉龙, 杨远帆. 双向两车道路内停车影响下的阻滞延误模型[J]. 城市交通, 2020, 18(3): 119-126. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT202003021.htm

    PEI Y L, YANG Y F. Block delay model under the influence of on-street parking in two-way two-lane road[J]. Urban Transport of China, 2020, 18(3): 119-126. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT202003021.htm
    [13]
    邵长桥, 杨乔乔. 路侧停车行为对基本路段通行能力的影响分析[J]. 重庆交通大学学报(自然科学版), 2018, 37(1): 80-84. doi: 10.3969/j.issn.1674-0696.2018.01.13

    SHAO C Q, YANG Q Q. Influence of curb parking behavior on traffic capacity of basic road section[J]. Journal of Chongqing JiaoTong university(natural science), 2018, 37 (1): 80-84. (in Chinese) doi: 10.3969/j.issn.1674-0696.2018.01.13
    [14]
    战宇轩. 路内停车对城市道路网络通行能力的影响研究[D]. 北京: 北方工业大学, 2020.

    ZHAN Y X. Research on the influence of on-street parking on the road networks capacity[D]. Beijing: North China University of Technology, 2020. (in Chinese)
    [15]
    BOYLES S D, TANG S, UNNIKRISHAN A. Parking search equilibrium on a network[J]. Transportation Research Part B: Methodological, 2015, 81(2): 390-409.
    [16]
    CAO J, MENENDEZ M. System dynamics of urban traffic based on its parking related states[J]. Transportation Research Part B: Methodological, 2015, 81(3): 718-736.
    [17]
    GEROLIMINIS N. Cruising-for-parking in congested cities with an MFD representation[J]. Economics of Transportation, 2015, 4(3): 156-165. doi: 10.1016/j.ecotra.2015.04.001
    [18]
    ARNOTT R, WILLIAMS P. Cruising for parking around a circle[J]. Transportation Research Part B: Methodological, 2017, 104(10): 357-375.
    [19]
    LECLERCQ L, SENECAT A, MARIOTTE G. Dynamic macroscopic simulation of on-street parking search: A trip-based approach[J]. Transportation Research Part B: Methodological, 2017, 101(7): 268-282.
    [20]
    MILLARD B A, HAMPSHIRE R C, WEINBERGER R. Parking behaviour: The curious lack of cruising for parking in San Francisco[J]. Land Use Policy, 2020(91): 103918.
    [21]
    JIANG R, WU Q S. Cellular automata models for synchronized traffic flow[J]. Journal of Physics A: Mathematical and General, 2002(36): 381-390.
    [22]
    贾斌, 高自友, 李克平, 等. 基于元胞自动机的交通系统建模与模拟[M]. 北京: 科学出版社, 2007.

    JIA B, GAO Z Y, LI K P, et al. Models and simulations of traffic system based on the theory of cellular automaton[M]. Beijing: Science Press, 2007. (in Chinese)
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1112) PDF downloads(33) Cited by()
    Proportional views
    Related

    Copyright Editorial Office of Transport Information and Safety鄂ICP备05003336号-2

    Address：No. 1178，Heping Avenue, Wuchang, Wuhan, CHINA (430063)

    Tel：027-86580355 Email：jtjsj@vip.163.com

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return