A CELLULAR AUTOMATA MODEL OF TRAFFIC FLOW WITH CONSIDERATION OF THE INERTIAL DRIVING BEHAVIOR

Jian-Xun Ding and Hai-Jun Huang ()
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Jian-Xun Ding: School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

International Journal of Modern Physics C (IJMPC), 2010, vol. 21, issue 04, 549-557

Abstract: The inertial driving behavior, although observed in real traffic, has not been deeply understood in most previous studies. In this paper we propose a cellular automata model of the traffic on a single lane highway which considers the drivers' inertial behavior under different driving circumstances. Simulation results show that our model can capture such important features of the traffic as jam formation, phase transition and metastable states. Some of other models, like the slow-to-start model, can be derived from our model.

Keywords: Traffic flow; cellular automaton; randomization; inertial behavior; 89.40.-a; 45.70.Vn; 64.60.Ak; 02.60.Cb (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0129183110015300

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