Despite the popular application of simulation models by the traffic community, one essential researchtask of developing simulation mechanisms to replicate the potential conflicts in a mixed vehicle-pedestrianflow remains at its infancy. This study explores the potential of using the Cellular Automata (CA)methodology to simulate the interactions between vehicles and pedestrians in a congested mixed trafficflow, including the unique characteristics associated with pedestrian flow evolution, the vehicle-pedestrianand pedestrian-pedestrian conflicts, and the response discrepancies between drivers and pedestrians undervarious congestion levels. Our exploratory analysis with extensive numerical experiments reveal that theproposed simulation methodology has the desirable properties for use in simulating pedestrian-vehiclemixed flow at congested downtown areas and in evaluating different mixed-flow signal control strategies.
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