IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v566y2021ics0378437120309559.html
   My bibliography  Save this article

Reaction model of conflictive e-bikes and numerical simulation

Author

Listed:
  • Xia, Yingji
  • Sun, Zhe
  • Qu, Zhaowei
  • Liu, Tianze
  • Li, Zhihui
  • Gao, Yuhong

Abstract

The tremendous growing ownership of electric bikes (e-bikes) brings serious traffic safety problems. Existing models aim to describe the conflict between pairwise traffic participants, which may not be appropriate for analyzing traffic conflicts among multiple e-bikes. This study aimed to model the trajectory changes for e-bikes in conflict scenarios, and simulate the e-bike movements during conflicts. First, the conflict zone of e-bike is represented as an isosceles triangle, within which the e-bikes would either adapt a lateral (right or left) shift in its trajectory or slow down to avoid potential collisions. Second, the kinematic principles of the classical optimal velocity model were employed to solve the overlapping problem of the cyclist reactions to the multiple conflictive e-bikes. Finally, the model was calibrated with trajectory data collected from video surveillance, and two types of numerical simulations were carried out. The experiment results verified the model performance of simulating the conflictive e-bike trajectories with multiple e-bike involved conflicts. It is also found that the unique typical phenomena of e-bikes such as the diagonal spatial distributions can be reproduced. It is hoped that the findings of this study may be helpful in modeling and simulation study of e-bike flow.

Suggested Citation

  • Xia, Yingji & Sun, Zhe & Qu, Zhaowei & Liu, Tianze & Li, Zhihui & Gao, Yuhong, 2021. "Reaction model of conflictive e-bikes and numerical simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
  • Handle: RePEc:eee:phsmap:v:566:y:2021:i:c:s0378437120309559
    DOI: 10.1016/j.physa.2020.125657
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120309559
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2020.125657?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    2. Klawtanong, Manit & Limkumnerd, Surachate, 2020. "Dissipation of traffic congestion using autonomous-based car-following model with modified optimal velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    3. Qingtao, Zhai & Hongxia, Ge & Rongjun, Cheng, 2018. "An extended continuum model considering optimal velocity change with memory and numerical tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 774-785.
    4. Wang, Tao & Zhang, Yuanshu & Zhang, Jing & Li, Zhen & Li, Shubin, 2020. "New feedback control strategy for optimal velocity traffic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    5. Geoffrey Rose, 2012. "E-bikes and urban transportation: emerging issues and unresolved questions," Transportation, Springer, vol. 39(1), pages 81-96, January.
    6. Xu, Xihua & Pang, John & Monterola, Christopher, 2015. "Asymmetric optimal-velocity car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 565-571.
    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. Jafaripournimchahi, Ammar & Cai, Yingfeng & Wang, Hai & Sun, Lu & Yang, Biao, 2022. "Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    2. Ziwen Ling & Christopher R. Cherry & John H. MacArthur & Jonathan X. Weinert, 2017. "Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    3. Synek, Stefan & Koenigstorfer, Joerg, 2018. "Exploring adoption determinants of tax-subsidized company-leasing bicycles from the perspective of German employers and employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 238-260.
    4. 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.
    5. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    6. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    7. Fang, Shuyi & Jin, Cheng-Jie & Jiang, Rui & Li, Dawei, 2024. "Simulating the bi-directional pedestrian flow under high densities by a floor field cellular automaton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    8. Huang, Shenshi & Zhang, Teng & Lo, Siuming & Lu, Shouxiang & Li, Changhai, 2018. "Experimental study of individual and single-file pedestrian movement in narrow seat aisle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1023-1033.
    9. Karolina Żydek & Małgorzata Król & Aleksander Król, 2021. "RETRACTED: Evacuation Simulation Focusing on Modeling of Disabled People Movement," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    10. Jurgis Zagorskas & Marija Burinskienė, 2019. "Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    11. G. Marletto, 2013. "Car and the city: Socio-technical pathways to 2030," Working Paper CRENoS 201306, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. 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.
    13. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    14. Georgia Apostolou & Angèle Reinders & Karst Geurs, 2018. "An Overview of Existing Experiences with Solar-Powered E-Bikes," Energies, MDPI, vol. 11(8), pages 1-20, August.
    15. Sylwia Agata Bęczkowska & Iwona Grabarek & Zuzanna Zysk & Katarzyna Gosek-Ferenc, 2022. "Physical Activity and Ecological Means of Transport—Functional Assessment Methodology," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
    16. José Castillo-Manzano & Antonio Sánchez-Braza, 2013. "Managing a smart bicycle system when demand outstrips supply: the case of the university community in Seville," Transportation, Springer, vol. 40(2), pages 459-477, February.
    17. 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).
    18. Laa, Barbara & Leth, Ulrich, 2020. "Survey of E-scooter users in Vienna: Who they are and how they ride," Journal of Transport Geography, Elsevier, vol. 89(C).
    19. 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).
    20. 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).

    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:eee:phsmap:v:566:y:2021:i:c:s0378437120309559. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.