Coordinated Optimization Of The Berth And Departure Interval Of Conventional Bus Line Stations With Consideration The Influence Of Blocking Propagation

Under the precondition of existing facilities construction and operation scheme,the operation process of public transport vehicles is easily affected by traffic jam propagation,which makes the arrival process and service time of vehicles appear to be random.However,In the planning and design of the station berth and departure interval,public transport planning and operating agencies often neglect the impact of traffic congestion,which leads to the station"bus bunching" queuing phenomenon,resulting in the inability of station berths to match the parking demand during the peak period,and causing road traffic congestion,which is unable to complete transportation services for passengers.The development of discrete event simulation optimization technology provides a successful and powerful method to solve this kind of problem.At the same time,combined with the advantages of PH distribution in data fitting,it can better make up for the lack of consideration of system state-dependence,randomness of travel and service time,complexity of modeling and solving,etc.in the study of existing bus queuing problems.To sum up,based on the existing research results,this paper firstly starts from the perspective of queue,considers the influence of traffic jam propagation on the bus line operation service process,and then combines discrete event simulation to realize the model of bus line queue network.Secondly,focusing on the shortcomings of the existing studies in the stage of the planning and design of the berth and departure interval,considering the randomness of the arrival and service time of vehicles,the paper establishes the coordination and optimization model of bus line station berths and departure interval from the perspective of system,and designs the genetic optimization algorithm of discrete event simulation with the idea of simulation and optimization,and then completes the solution and analysis of the model with case data.The main work is described as follows:1)Firstly,in order to describe the impact of traffic jam propagation on bus travel and service time,this paper introduces a state-related queuing model,and then builds road facilities and stop facilities with the process of passenger boarding and alighting into state-dependent hybrid queuing system A/B(n)/C/C,state-dependent series queuing system A/B(n)/C/C and batch queuing system A/B(0,C1)/C/C.2)Secondly,according to the advantages of discrete event simulation in the modeling derivation and solution of queuing problem,PH distribution in data fitting considering randomness,combined with the parameter calibration results of exponential distribution,the model of discrete event simulation model for travel time and departure time of system state-dependence with PH/PH(n)/C/C was successively realized,and then the modeling of the queue network of discrete event simulation was completed.3)Thirdly,focusing on the inadequate consideration of traffic jam propagation and randomness in the berth and departure interval of the existing research,this paper constructs a model of coordinated and optimization of the station berths and departure interval with the perspective of the system,and then designed a genetic optimization algorithm based on discrete event simulation,it can make up for the shortcoming of time in solving explicit analytical expressions.4)Finally,the paper takes the bus line of no.735 as a case study,the effects of three passenger flow demand level models are discussed.The analysis results show that the coordinated optimization model which based on discrete event simulation and built in this paper,is feasible and practical for the study of the coordinated optimization of bus departure interval and berth with the influence of blocking propagation.