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Modeling Driver Behavior On Urban Streets

Author

Listed:
  • RUILI WANG

    (Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand)

  • MINGZHE LIU

    (Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand)

  • RAY KEMP

    (Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand)

  • MIN ZHOU

    (Department of Electrical and Computer Engineering, Manukau Institute of Technology, Manukau, Auckland, New Zealand)

Abstract

Traffic flow on straight roads is the most common traffic phenomenon in urban road traffic networks. In this paper, a realistic cellular automaton (CA) model is proposed to investigate driver behavior on urban straight roads based on our field observations. Two types of driver behavior, free and car-following, are simulated. Free driving behavior is modeled by a novel five-stage speeding model (two acceleration stages, one steady stage and two deceleration stages). Car-following processes are simulated by using 1.5-s as the average headway (1.5-s rule), which is observed in local urban networks. Vehicular mechanical restrictions (acceleration and deceleration capabilities) are appropriately reflected by a five-stage speeding model, which has the dual-regimes of acceleration and deceleration. A fine grid (the length of each cell corresponds to 1 m) is used. Our simulation results demonstrate that the introduction of the dual-regimes of acceleration and deceleration, 1.5-s rule and fine grid matches actual driver behavior well on urban straight roads.

Suggested Citation

  • Ruili Wang & Mingzhe Liu & Ray Kemp & Min Zhou, 2007. "Modeling Driver Behavior On Urban Streets," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 903-916.
    • Handle: RePEc:wsi:ijmpcx:v:18:y:2007:i:05:n:s0129183107010620
    DOI: 10.1142/S0129183107010620
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    Cited by:

    1. Karthiga Kasi & Gunasekaran Karuppanan, 2024. "Framework to Identify Vehicle Platoons under Heterogeneous Traffic Conditions on Urban Roads," Sustainability, MDPI, vol. 16(2), pages 1-20, January.

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