Large Station Express Combination Scheduling Based On County Bus Short-term Passenger Flow Optimization Research

With the rapid development of public transportation,people's travel modes are more and more diversified.For the county residents,the development goal of public transportation is to let all residents “take advantage”,and the bus is the most important for residents and commuters in the county.Public transport.Because the population,economy,geographical conditions,road conditions and infrastructure conditions of the county are not as good as those of big cities,the characteristics of short-term passenger flow are relatively significant,regularity is strong,and time-lapse congestion is more serious.Adding a large station express train to the dispatch mode of the whole vehicle can well alleviate the crowding of passengers during peak hours.This paper relies on the public transportation information system to design the full-vehicle dispatch of the express bus combination of the Fugu County Bus No.5 bus station,and the data survey and acquisition method,data mining method,passenger flow distribution characteristics,shortterm passenger flow forecasting method and combined scheduling in the design process.Research on models and other content.Firstly,using the follow-up survey,visiting traffic units,field research and reasonable questionnaires to obtain the basic status of county bus operation scheduling,based on the analysis of bus service level and operation scheduling mechanism,it is found that the current county bus needs to be solved urgently.The problem is the scheduling problem at noon peak hours.Through the description and excavation of IC card data and vehicle GPS data and fields in the county bus fare system,the boarding site of the card-sweeping passengers is obtained,and the getting-off station is estimated.According to the time distribution of historical data of bus passenger flow,the imbalance of passenger flow,the analysis of passenger flow characteristics of short-term passenger flow adjacent week,adjacent day and adjacent time period,it is preliminarily determined that the dispatch form of large station express train is used to alleviate passenger flow during peak hours.Overcrowded.For the short-term passenger flow law,the Elman neural network model is used to predict the short-term passenger flow during peak hours.Determine the data of adjacent weeks,adjacent days,and adjacent time periods as input data,use MATLAB to program the test results and prediction accuracy of the training data and test data in the prediction model,and use BP neural network to perform the same parameters.The short-term passenger flow forecast shows that both methods have better prediction performance and prediction accuracy.The Elman neural network model has shorter running time and higher precision.Finally,based on the above-mentioned analysis and research,combined with the characteristics of passenger flow in the county,explore the scheduling form suitable for county bus,and determine the scheduling form of the large station express train combination to solve the problem of county bus time congestion.The line scheduling mechanism based on the unified dispatching center is optimized,and the steps of combined scheduling are designed.The calculation method of the running time,stopping station and running direction of the express train is determined.The scheduling optimization model is established with the shortest travel time and the minimum operating cost of the bus company.The departure time of the whole train and the big station express train is taken as the decision variable,and the bus of Fugu County 5 is taken as an example to analyze the example and adopt the global optimization.The genetic algorithm solves the model and verifies the validity of the model.