MODELING DRIVER BEHAVIOR ON URBAN STREETS

Ruili Wang (), Mingzhe Liu (), Ray Kemp () and Min Zhou ()
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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

International Journal of Modern Physics C (IJMPC), 2007, vol. 18, issue 05, 903-916

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.

Keywords: Cellular automata; driver behavior; traffic flow; urban traffic; 89.40.-a; 45.70.Vn; 05.45.-a; 02.60.Cb (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183107010620

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