Operation Organization Optimization Of Urban Public Transport Connecting Railway Passenger Hub

Railway passenger hub is an important part of urban comprehensive transportation system,and it is the place to provide external transportation for the city.The connection degree of railway passenger hub and urban public transport is directly related to the external travel efficiency of urban residents.Therefore,the connection and coordination between railway and urban public transport has a great impact on the number of people gathered in the hub station,the efficiency of passenger transfer and the level of urban comprehensive transport operation.Therefore,this paper deduces the time distribution of passengers arriving at public transport stations(including bus and urban rail transit)in railway passenger hub area by constructing relevant mathematical models,and on this basis,considering the non-equilibrium departure mode,the departure time of bus and the framework of urban rail transit are going to be optimized.The research work and conclusions are as follows:(1)Analysis on the connection between railway hub and urban public transport.By analysing the function,classification of railway passenger hub and characteristics of public transport,this paper summarizes the role of hub station in urban comprehensive transport system and the function orientation of public transport in the hub.Then,after analyzing the characteristics of the passenger flow in the railway hub,it is concluded that the arrival passenger flow of the public transport station connecting the railway hub presents a strong imbalance in the time distribution.And on this basis,the dynamic demand is deduced.Finally,based on the above conclusions,the paper discusses the coordination of capacity and time between railway and urban public transport.(2)Construction of optimization model for departure time of bus.In the process of optimizing the departure time of public transport,considering the other passenger flow and vehicle capacity constraints,a double objective optimization model is constructed to minimize the passenger waiting time and the absolute value of the difference between the capacity matching degree and the ideal value.According to the characteristics of the model,the "exhaustive iteration & adaptive genetic algorithm" is designed to solve it.(3)The construction of timetable optimization model of urban rail transit.In the process of optimizing the timetable,not only the passenger flow at the hub station is considered,but also the time-varying passenger demand of other stations along the line is considered.In this paper,a multi-objective optimization model is established based on minimizing the passenger waiting time,passenger extra perceived time,the operation cost and the matching degree of transportation capacity.(4)Case study.Taking Beijing West Railway Station as the research object,the model is solved,and the balanced departure mode as the initial scheme is compared with the unbalanced departure mode.The results show that the unbalanced departure mode can effectively enhance the connection and coordination between public transport and railway,so as to achieve a win-win situation between enterprises and passengers.And,compared with the peak period,the off-peak period has a better optimization effect.The reason is that the optimization effect is not only affected by number of departures and the uneven rate of passenger flow,but also related to the proportion of passenger volume of hub station in passenger flow of the whole line.Therefore,the optimization effect of passenger waiting time of bus and urban rail transit is 35.7% and 4.3% at 12:30-13:30.Moreover,The optimization scheme also effectively reduces the number of passengers remaining and the number of people gathering at the platform,and improves the matching degree of transportation capacity and the balance of vehicle / train load ratio.At the same time,through the sensitivity analysis of the hub station weight,it can be concluded that with the increasing attention of the hub station,the waiting time of passengers in the hub station will gradually reduce,but the waiting time of passengers in other stations will increase.