Electric bicycles and motor vehicles are important traffic modes in urban road system,but there may be conflicts between electric bicycles and right-turning vehicles at unsignalized intersections.Especially when traffic participants do not strictly follow the traffic priority,it greatly increases the complexity of the interaction between different road users.This paper proposes a conflict game model between the electric bicycle in through movement and a right-turning vehicle,with the objective as minimum loss incurred by traffic modes.In consideration of the subjective psychological perceptions of the electric bicycle rider and the vehicle driver,this paper introduces the value function and decision weighting function of prospect theory.The behavioral strategy evolution process of game subjects is analyzed according to the replicated dynamic equations of the evolutionary game,deriving the final stabilization strategy of the system under different conditions.The influence of different parameters on the system evolution is analyzed using the numerical simulations.The results show that the parameters related to the prospect theory affect the convergence speed of the system evolution,but do not affect the final evolutionary result.Moreover,different types of electric bicycles riders exhibit different risk preferences when making passing and yielding decisions.In addition,the increase of mutual concession loss promotes the increase and inhibits the decrease of the passing probability of electric bicycles and vehicles,while the opportunity loss plays the opposite role.The theoretical model proposed in this paper can be used to reveal the decision-making evolution rule of road users in conflict behavior and provide theoretical basis for urban traffic management and control.
urban traffictraffic conflictevolutionary game theoryelectric bicycleprospect theory
维普
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