IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2022i1p170-d1018735.html
   My bibliography  Save this article

Modeling and Simulation for Non-Motorized Vehicle Flow on Road Based on Modified Social Force Model

Author

Listed:
  • Jiaying Qin

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Sasa Ma

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Lei Zhang

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Qianling Wang

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Guoce Feng

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

Abstract

Non-motorized vehicles have become one of the most commonly used means of transportation for people due to their advantages of low carbon, environmental protection, convenience and safety. Frequent interaction among non-motorized vehicle users in the shared space will bring security risks to their movement. Therefore, it is necessary to adopt appropriate means to evaluate the traffic efficiency and safety of non-motorized vehicle users in the passage, and using a micro model to conduct simulation evaluation is one of the effective methods. However, some existing micro simulation models oversimplify the behavior of non-motorized vehicle users, and cannot reproduce the dynamic interaction process between them. This paper proposes a modified social force model to simulate the dynamic interaction behaviors between non-motorized vehicle users on the road. Based on the social force model, a new behavioral force is introduced to reflect the three dynamic interaction behaviors of non motor vehicle users, namely, free movement, following and overtaking. Non-motorized vehicle users choose which behavior is determined by the introduced decision model. In this way, the rule-based behavior decision model is combined with the force based method to simulate the movement of non-motorized vehicles on the road. The modified model is calibrated using 1534 non-motorized vehicle trajectories collected from a road in Xi’an, Shaanxi, China. The validity of the model is verified by analyzing the speed distribution and decision-making process of non-motorized vehicles, and comparing the simulation results of different models. The effects of the number of bicycles and the speed of electric vehicles on the flow of non-motorized vehicles are simulated and analyzed by using the calibrated model. The relevant results can provide a basis for urban management and road design.

Suggested Citation

  • Jiaying Qin & Sasa Ma & Lei Zhang & Qianling Wang & Guoce Feng, 2022. "Modeling and Simulation for Non-Motorized Vehicle Flow on Road Based on Modified Social Force Model," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    • Handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:170-:d:1018735
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/1/170/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/1/170/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kunxiang Deng & Qingyong Zhang & Hang Zhang & Peng Xiao & Jiahua Chen, 2022. "Optimal Emergency Evacuation Route Planning Model Based on Fire Prediction Data," Mathematics, MDPI, vol. 10(17), pages 1-23, September.
    2. Li, Yixin & Ni, Ying & Sun, Jian & Ma, Zian, 2020. "Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    3. Jin, Sheng & Qu, Xiaobo & Zhou, Dan & Xu, Cheng & Ma, Dongfang & Wang, Dianhai, 2015. "Estimating cycleway capacity and bicycle equivalent unit for electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 225-248.
    4. Han, Yanbin & Liu, Hong, 2017. "Modified social force model based on information transmission toward crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 499-509.
    5. Liu, Qiujia & Lu, Linjun & Zhang, Yijing & Hu, Miaoqing, 2022. "Modeling the dynamics of pedestrian evacuation in a complex environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    6. Jingyuan Li & Weile Liu & Fangwei Zhang & Taiyang Li & Rui Wang, 2022. "A Ship Fire Escape Speed Correction Method Considering the Influence of Crowd Interaction," Mathematics, MDPI, vol. 10(15), pages 1-14, August.
    7. Yongqing Guo & Siyuan Ma & Fulu Wei & Liqun Lu & Feng Sun & Jie Wang, 2022. "Analysis of Behavior Characteristics for Pedestrian Twice-Crossing at Signalized Intersections Based on an Improved Social Force Model," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. Ni, Ying & Li, Yixin & Yuan, Yufei & Sun, Jian, 2023. "An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    3. Ding, Ning & Zhu, Yu & Liu, Xinyan & Dong, Dapeng & Wang, Yang, 2024. "A modified social force model for crowd evacuation considering collision predicting behaviors," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    4. Li, Hongwei & Zhong, Xin & Zhang, Wenbo & Li, Sulan & Xing, Yingying, 2020. "An algorithm for e-bike equivalents at signalized intersections based on traffic conflict events number," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 78-95.
    5. Ji, Yanjie & Gao, Liangpeng & Chen, Dandan & Ma, Xinwei & Zhang, Ruochen, 2018. "How does a static measure influence passengers’ boarding behaviors and bus dwell time? Simulated evidence from Nanjing bus stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 13-25.
    6. Kayvan Aghabayk & Alireza Soltani & Nirajan Shiwakoti, 2022. "Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    7. Ding, Zhikun & Xu, Shengqu & Xie, Xiaofeng & Zheng, Kairui & Wang, Daochu & Fan, Jianhao & Li, Hong & Liao, Longhui, 2024. "A building information modeling-based fire emergency evacuation simulation system for large infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    8. Alexander Bigazzi & Robin Lindsey, 2019. "A utility-based bicycle speed choice model with time and energy factors," Transportation, Springer, vol. 46(3), pages 995-1009, June.
    9. Zhang, Yijing & Lu, Linjun & Liu, Qiujia & Hu, Miaoqing, 2023. "Modeling of low-risk behavior of pedestrian movement based on dynamic data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    10. Song, Jiatong & Li, Baicheng & Szeto, W.Y. & Zhan, Xingbin, 2024. "A station location design problem in a bike-sharing system with both conventional and electric shared bikes considering bike users’ roaming delay costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    11. Sun, Yutong & Liu, Hong, 2021. "Crowd evacuation simulation method combining the density field and social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    12. Zou, Baobao & Lu, Chunxia & Mao, Shirong & Li, Yi, 2020. "Effect of pedestrian judgement on evacuation efficiency considering hesitation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    13. Xiaofei Ye & Yi Zhu & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Level of Service Model of the Non-Motorized Vehicle Crossing the Signalized Intersection Based on Riders’ Perception Data," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    14. Khamis, Nurulaqilla & Selamat, Hazlina & Ismail, Fatimah Sham & Lutfy, Omar Farouq & Haniff, Mohamad Fadzli & Nordin, Ili Najaa Aimi Mohd, 2020. "Optimized exit door locations for a safer emergency evacuation using crowd evacuation model and artificial bee colony optimization," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    15. Feifei Xin & Yifan Chen & Yitong Ye, 2022. "Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai," Sustainability, MDPI, vol. 14(2), pages 1-13, January.
    16. Hu, Xiaojian & Yu, Fengkai, 2025. "Objective description of heterogeneous traffic flow patterns of passenger cars and trucks on long downhill sections in Kerner's three-phase traffic theory framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
    17. Bagloee, Saeed Asadi & Sarvi, Majid & Wallace, Mark, 2016. "Bicycle lane priority: Promoting bicycle as a green mode even in congested urban area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 102-121.
    18. Haghani, Milad, 2021. "The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    19. Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    20. Agarwal, Amit & Ziemke, Dominik & Nagel, Kai, 2020. "Bicycle superhighway: An environmentally sustainable policy for urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 519-540.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:170-:d:1018735. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.