Research On The Behavior Of Vehicle Yielding Pedestrians On The Influence Of Traffic Flow At Urban Road Without Traffic Lights

Mixed traffic is a typical feature of urban traffic in China,human-vehicle conflicts generally occur in urban sections and intersections,especially in urban roads without signal light control,therefore,the study of the evolution of urban road traffic flow without signal light control under the influence of vehicles has important theoretical significance and practical value.Based on the basic characteristics of urban roads,this paper constructs a traffic flow model of urban road section controlled by no signal lights and a traffic flow model of T-intersection controlled by urban traffic without signal lights under the influence of vehicles and people,and conducts simulation simulations to analyze the evolution process of urban road traffic flow under the influence of vehicles and people,reveal the evolution law of urban road traffic flow under the influence of vehicles and people,and provide a theoretical basis for alleviating people-vehicle conflicts and traffic congestion at intersections.The specific results of the paper are as follows.The evolution of mixed traffic flow in urban road section without signal light control under the influence of yielding Pedestrians.Based on the traffic flow characteristics of the basic section of urban no signal light control under the influence of yielding Pedestrians,and then the cell automata model of urban traffic flow is constructed,and the evolution law of road traffic flow upstream of the pedestrian crossing of the urban without signal light control section under different entry rates and pedestrian arrival rates is analyzed through numerical simulation.It was found that the traffic flow and the average density of traffic flow in the upstream lanes of the crosswalk without signal control increased with the increase of the entry rate,and when pin ≤0.3,the flow,speed and density of each lane upstream of the crosswalk were less affected by the yield.when pin>0.3,with the increase of λ,the average speed of vehicles upstream of the Lanel lane crosswalk and the upstream of the Lane2 lane crosswalk decreased to 25km/h,and the average density of traffic increased to 50vel/s,and the traffic flow remained basically unchanged.When pin=0.3,λ=0.05,the upper reaches of the pedestrian crossings of each lane of Lane 1 and Lane 2 form a blocking belt and pass upward,and the vehicle is greatly affected by the pedestrian yield;When pin=0.5,λ=0.05,the upper reaches of each lane crosswalk form a yield blocking belt and pass upward,and the blocking belt is transmitted to the entrance of the road section,and the vehicle is greatly affected by the pedestrian yield.The evolution of traffic flow at T-shaped intersections in cities without signal lights under the influence of yielding Pedestrians.Based on the traffic flow characteristics of urban no signal light control T-shaped intersection under the influence of yielding Pedestrians,the cell automata model of urban traffic flow without signal light control T-shaped intersection under the influence of yielding Pedestrians is constructed,and the evolution law of traffic flow at each upstream road and intersection of urban no signal light control T-type intersection under different entry rates and pedestrian arrival rates is analyzed through numerical simulation.It was found that the impact of each lane upstream of the T-intersection and the T-intersection increased with the increase of pedestrian arrival rates.The impact of vehicle speed and average density of traffic at Tintersections increases with the increase of pedestrian arrival rates.When pin=0.3,λ>0.15,the average speed of vehicles at T-intersections decreases sharply,and the average density of traffic increases significantly;when λ=0.35,the average speed of vehicles at T-shaped intersections and the average speed of vehicles at T-intersections under the free flow state and saturation flow are small and tend to be stable,and vehicles at T-intersections are most affected by pedestrians.