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The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network

Author

Listed:
  • Wenjing Tian

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Jien Ma

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Lin Qiu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Xiang Wang

    (College of Rail Transportation, Soochow University, Suzhou 215131, China)

  • Zhenzhi Lin

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Chao Luo

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Yao Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

  • Youtong Fang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China)

Abstract

The connected and autonomous vehicle (CAV) is promised to ease congestion in the future with the rapid development of related technologies in recent years. To explore the characteristics of mixed-traffic flow and the dynamic transmission mechanism, this paper firstly detailed the car-following model of different vehicle types, establishing the fundamental diagram of the mixed-traffic flow through considering the different penetration rates and fleet size of CAV. Secondly, this paper constructed the lane-changing judgment mechanism based on the random utility theory. Finally, the paper proposed a lane-level dynamic cell transmission process, combined with a lane-changing strategy and cell transmission model. The effectiveness and feasibility of the model are verified using simulation analysis. This model makes a systematic, theoretical analysis from the perspective of the internal operation mechanism of traffic flow, and the lane-level traffic strategy provides a theoretical basis for balancing urban lane distribution and intelligent traffic management and control.

Suggested Citation

  • Wenjing Tian & Jien Ma & Lin Qiu & Xiang Wang & Zhenzhi Lin & Chao Luo & Yao Li & Youtong Fang, 2023. "The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network," Energies, MDPI, vol. 16(7), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3108-:d:1110663
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    References listed on IDEAS

    as
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