MODELING DRIVER BEHAVIOR ON URBAN STREETS
Autor: | Min Zhou, Ruili Wang, Ray Kemp, Mingzhe Liu |
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Rok vydání: | 2007 |
Předmět: | |
Zdroj: | International Journal of Modern Physics C. 18:903-916 |
ISSN: | 1793-6586 0129-1831 |
DOI: | 10.1142/s0129183107010620 |
Popis: | 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. |
Databáze: | OpenAIRE |
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