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Lane-changing behavior and its effect on energy dissipation using full velocity difference model

Author

Listed:
  • Jian Wang

    (School of Transportation Engineering Hefei University of Technology, P. R. China)

  • Jian-Xun Ding

    (School of Transportation Engineering Hefei University of Technology, P. R. China†Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education Hefei University of Technology, Hefei 230009, P. R. China)

  • Qin Shi

    (School of Transportation Engineering Hefei University of Technology, P. R. China)

  • Reinhart D. Kühne

    (School of Transportation Engineering Hefei University of Technology, P. R. China‡Department for Transportation University of Stuttgart, Stuttgart 70174, Germany)

Abstract

In real urban traffic, roadways are usually multilane with lane-specific velocity limits. Most previous researches are derived from single-lane car-following theory which in the past years has been extensively investigated and applied. In this paper, we extend the continuous single-lane car-following model (full velocity difference model) to simulate the three-lane-changing behavior on an urban roadway which consists of three lanes. To meet incentive and security requirements, a comprehensive lane-changing rule set is constructed, taking safety distance and velocity difference into consideration and setting lane-specific speed restriction for each lane. We also investigate the effect of lane-changing behavior on distribution of cars, velocity, headway, fundamental diagram of traffic and energy dissipation. Simulation results have demonstrated asymmetric lane-changing “attraction” on changeable lane-specific speed-limited roadway, which leads to dramatically increasing energy dissipation.

Suggested Citation

  • Jian Wang & Jian-Xun Ding & Qin Shi & Reinhart D. Kühne, 2016. "Lane-changing behavior and its effect on energy dissipation using full velocity difference model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(02), pages 1-14, February.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:02:n:s0129183116500133
    DOI: 10.1142/S0129183116500133
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    Citations

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    Cited by:

    1. Qi, Le & Zheng, Zhongyi & Gang, Longhui, 2017. "A cellular automaton model for ship traffic flow in waterways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 705-717.
    2. Yakup Çelikbilek & Sarbast Moslem, 2023. "A grey multi criteria decision making application for analyzing the essential reasons of recurrent lane change," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 916-941, June.
    3. Danish Farooq & Sarbast Moslem & Arshad Jamal & Farhan Muhammad Butt & Yahya Almarhabi & Rana Faisal Tufail & Meshal Almoshaogeh, 2021. "Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    4. Song Fang & Linghong Shen & Jianxiao Ma & Chubo Xu, 2022. "Study on the Design of Variable Lane Demarcation in Urban Tunnels," Sustainability, MDPI, vol. 14(9), pages 1-12, May.
    5. Danish Farooq & Janos Juhasz, 2019. "Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway," Sustainability, MDPI, vol. 11(21), pages 1-15, October.

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