Simulation of possible traffic accident in rainy weather on freeway curve using CA model

doi:10.16265/j.cnki.issn1003-3033.2017.07.005

Abstract

Abstract: The research paper was aimed at reducing traffic accident probability and providing decision support to traffic management and control. After analyzing vehicle force and traffic accident on freeway curve in rainy weather, a CA simulation model was built for one-way two-lane on a rainy day with the possible occurrence of traffic accidents. The model was preliminarily validated by comparing the accident rates obtained by simulation experiments and that in actual statistics. The nonlinear behaviors of traffic flow were discussed and the accident probabilities were calculated via the simulation experiments by setting the different values of variable speed limits (VSL) and road geometric linear parameters. The results of the example show that VSL is a very effective measurein reducing traffic accident probability, particularly in sections with a long curve length and a small curve bend radius. The different speed upper limit values should be set for different rainfall intensities according to simulation results of the proposed CA model and the concrete road parameters.

Key words: traffic accident probability, cellular automaton (CA) model, traffic simulation, rain weather, freeway curve

CLC Number:

X951
U491.3

PANG Mingbao, REN Boning. Simulation of possible traffic accident in rainy weather on freeway curve using CA model[J]. China Safety Science Journal, 2017, 27(7): 24-29.

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