Chaotic Traffic Flows on Two Crossroads Caused by Real-Time Traffic Information

Minoru Fukui (), Katsuhiro Nishinari (), Yasushi Yokoya () and Yoshihiro Ishibashi ()
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Minoru Fukui: Nakanihon Automotive College
Katsuhiro Nishinari: the University of Tokyo, Department of Aeronautics and Astronautics, Faculty of Engineering
Yasushi Yokoya: Japan Automobile Research Institute
Yoshihiro Ishibashi: Aichi Shukutoku University, School of Business

A chapter in Traffic and Granular Flow’05, 2007, pp 667-673 from Springer

Abstract: Summary A cellular automaton traffic model of cars on two single-lane roads crossing at one point is studied. At the crossing real-time traffic information is displayed and drivers determine the driving direction based on the information about the trip-time. The traffic flow and density of the cars on the roads oscillate between free flow and jam states, and their time-behavior is chaotic. The real-time traffic information lures the driver to a road with shorter trip-time and causes too much concentration of the traffic by the nonlinearity of the velocity-density relation.

Keywords: Cellular Automaton; Urban Street; Large Lyapunov Exponent; Correlation Integral; Cellular Automaton Traffic (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-3-540-47641-2_65

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