Research On Signal Control Method Based On Passenger Demand In Connected Environment

With the development of wireless network technology and the popularity of mobile communication devices,People are increasingly keen on the way of traveling through the mobile APP book a car.The behavior of booking a car has gradually become an important factor in urban traffic.At the same time,the Cooperative Vehicle Infrastructure System is a research hotspot and an advanced technology in the field of transportation,and is changing the traditional way of traffic control.Therefore,studying the impact of riding behavior on signal control in the connected environment can effectively reduce passengers' waiting time and increase intersection capacity,which has an important application value and practical significance.This paper studies the intersection control method based on the riding behavior in the connected environment.The main research contents are as follows:Firstly,according to the passenger travel time,location distribution and psychological characteristics,through field investigation and data collection,the passenger pick-up time distribution characteristics is analyzed.Secondly,according to the state of the intersection signal,a service vehicle scheduling model considering the passenger waiting time and the distance between the service vehicle and the passenger is proposed,and the service vehicle scheduling rules for passenger requests are determined.Thirdly,according to the characteristics of vehicle information sharing and the traffic flow of each direction at the intersection in the connected environment,a signal adaptive control model based on queue length is proposed to minimize the total vehicle delay at the intersection and the integer programming method is used to solve the model.Combining with the vehicle speed guidance method in the connected environment,the speed guidance and trajectory optimization methods of social vehicle and service vehicle under different control conditions are proposed.Finally,the simulation model is established based on the cellular automata theory of traffic flow,and the control mode is simulated by MATLAB,and the model control effect is analyzed under different traffic volume and passenger demand intensity.The results show that: compared with timing control,the proposed control method can effectively reduce passenger waiting time and improve the capacity of intersections.