Properties of vehicle gap distribution in the mixed traffic flow

Abstract Using the cellular automaton traffic flow model, we study the vehicle gap distribution of the mixed traffic flow under the different delay probability and the different mixing rate for given vehicle density. Computer simulation results show that the delay probability has no effect on the vehicle gap distribution for the case of the high vehicle density; whereas, for the cases of the low and intermediate vehicle density, the delay probability has great effect on the vehicle gap distribution. Furthermore, one notes that the mixing rate has great effect on the vehicle gap distribution for the case of the low vehicle density.

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