Research On Driving Behavior Characteristics Of Signal-Controlled Entrance Road

With the rapid development of the national economy and the continuous improvement of people’s living standards,the number of automobiles has been increasing year by year,and urban traffic congestion has become increasingly serious.Signal-controlled intersection congestion is the most common bottleneck congestion case in urban roads.Conducting in-depth research on the vehicle operation characteristics of urban signal-controlled intersections and mastering the operating rules of vehicles is of great significance for alleviating traffic congestion,improving the traffic efficiency of vehicles,and reducing the occurrence of intersection traffic accidents.The main contents of this article are as follows:(1)This section introduces the fundamental theory of traffic signal control and analyzes vehicle lane-changing behavior.A detailed explanation of the definition,composition,and characteristics of cellular automata is provided,along with an introduction to common single and dual-lane cellular automaton models.Finally,the driving behavior at intersections is described and analyzed.(2)Based on the cellular automata theory,a dual-lane cellular automata model for signal countdown intersections at entry lanes was established.The model was simulated and analyzed using MATLAB,which examined the spatiotemporal evolution characteristics of vehicle trajectories and the effects of different vehicle speed changes at various distances from the stop line on driving behavior.The thesis investigated the influence of traffic flow density and random slowdown probability on vehicle lane-changing behavior.Additionally,the model was employed to analyze the impact of factors such as lane-changing vehicle proportion,signal timing,prohibited lane-changing solid line length,and turning ratio on traffic flow patterns.(3)A dual-lane cellular automata model for intersections without signal countdown at entry lanes was established.The spatiotemporal trajectories of vehicles,speed changes at different monitoring sections,and traffic flow characteristics under various traffic densities and random slowdown probabilities were investigated through simulation.The thesis further analyzed the lane-changing behavior and driving characteristics of drivers in the absence of signal countdown,and compared these findings to those of intersections with signal countdown.Finally,the impact of factors such as safe distance and prohibited lane-changing solid line length on traffic flow was examined.(4)The validity of the model was verified based on survey data,and relevant improvement measures were proposed for the issues identified in the signalcontrolled intersections.This research provides a basis for traffic management departments to formulate measures to alleviate traffic congestion and improve vehicle operation efficiency.