Research On The Control Method Of Bus Balanced Operation Based On Internet Of Vehicles

As the urban traffic environment becomes more and more complex,the current state of urban public transportation is increasingly unable to meet the travel needs of residents.At the same time,the frequent occurrence of unstable bus operation and unpunctual phenomena reduces residents’ willingness to choose buses for travel,which is not conducive to the development of urban transportation.The phenomenon of unbalanced bus operation and bunching affects residents’ travel choices and experience quality,but it is far from enough to rely solely on the optimization of bus route and the increase of road facilities and right of way.With the development of Internet of Vehicles(Io V)technology,intelligence and networking in the field of public transportation have been widely used,which can realize intelligent management of traffic,intelligent dynamic information services and intelligent control of vehicles,which is expected to fundamentally solve the problem of public transport unbalanced operation,to maximize the efficiency of conventional public transport.This paper introduces the Io V technology,and implements intelligent control and management of public transportation in the Io V environment.In view of the problems of control method to alleviate the phenomenon of bus bunching,the research on the balanced operation control method of buses is carried out in combination with the Io V technology.The specific research contents are as follows:(1)Analysis on the mechanism and influencing factors of bus bunching.Apply the mathematical model to analyze how the bus operates on the line,establish a mathematical model of bus operation to analyze the mechanism of the bus bunching and verify the cause of the bus bunching.At the same time,the bus reliability and influencing factors are studied,the influencing factors of unbalanced bus bunching phenomenon are identified,and the indexes for determining bus bunching are given.(2)The research basis of balanced bus operation control based on Io V.Aiming at the lack of access to information for bus control,combined with the key technologies at the application level of the Io V system,the research proposes a bus operation control information processing idea,a bus operation system,and a bus driver instruction release system under the Io V environment,and constructs a bus operation simulation environment.It lays a technical and theoretical foundation for the realization of balanced bus operation control and simulation analysis.(3)Research on the balanced operation control method of bus based on Io V.By controlling the normal cruising speed of buses,dwell time,bus load rate and other means to improve the stability and operating efficiency of the balanced operation of the bus.Considering the limitation of vehicle capacity,the bus load rate is included as a variable parameter of passenger boarding time into the study of bus dwell time,and a new relationship model between passenger demand and dwell time is proposed.Aiming at the cumbersome and complicated problem of station control strategies scheduling,the method of controlling the cruising speed between stations is adopted for real-time control,which not only conforms to the current schedule for bus departure and operation,but also convenient for bus operators to manage and ensure passenger service levels.(4)Case Study Analysis.In order to verify the control effect and feasibility of the control strategy method,the study takes Nanchang No.245 bus route as the research object.The realtime bus data is used to analyze the travel time of bus operation,the space-time distribution of vehicle trajectories and the dwell time of stops,to quantitatively analyze the current operation characteristics and existing problems of the bus route,and to propose targeted strategies.At the same time,the SUMO simulation software was used to set up a simulation platform with more refined settings for the road network,vehicles and infrastructure.And the control strategy method of bus balanced operation was validated by both Python numerical simulation and SUMO software simulation to verify the feasibility of the control strategy.The Python simulation results show that: without considering the vehicle capacity limit,the bus operation is stable,and there is no phenomenon of bus bunching.Compared with the current bus operation,the travel time is reduced by about 24.6%,and the bus operation stability and efficiency are improved.Combined with the Io V technology through SUMO simulation,the simulation results found that: the vehicle trajectory is consistent with the numerical simulation,indicating that the Io V technology can effectively reduce the impact of road conditions and traffic environment;compared with the current bus operation,the average speed of bus operation has increased by 49%,and the average travel time has been reduced by 33%,and the average time delay has been reduced by 68%,which has significantly improved the operating efficiency and service level of public transportation;the pollutant emissions after the simulation control were significantly reduced,indicating that the balanced operation control strategy of public transport based on the Io V is still effective.It can reduce the pollution of urban transport to the environment and promote the green and sustainable development of conventional public transport.