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The Research On Problems Of Highway Passenger Station Informationization

Posted on:2011-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:A L KuangFull Text:PDF
GTID:2132360308960705Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
With the rapid increase of construction and mileage of the expressway, the construction and management to operation of expressway has become more and more important. The Concept of operation traffic is created by the angle of expressway operations, which emphasizes short-term forecast of traffic. Because the size of operation traffic is directly related to the company's operating income which also to the company's various related projects such as the annual expenditure plans, the formulation of conservation plans, accurately prediction of traffic is important. The analysis of the growth characteristics of expressway traffic is conducive to a more comprehensive and qualitative traffic's forecast and also to grasp the traffic growth trends of the upcoming opening expressways.In this paper, the currently representative of the expressway's operational traffic data are used to the analysis of traffic's distribution characteristics. The results also show that the expressway's traffic of the east and the west in china also have obvious seasonal. So the monthly traffic forecast is necessary.General growth curve model of expressway's traffic is characterized by SPSS software and traffic growth of the mechanism level research and the actual data. At last, this paper inducts the concept of free traffic and analyzes its characteristics.The qualitative analysis of characteristics of traffic growth is significant to traffic volume forecast. By analyzing the advantages and disadvantages of short-term traffic forecasting means, the optimization method of traffic volume forecast of expressway is proposed based on the operation and growth characteristics of highway traffic. Next, the economy of the ARIMA model is introduced to a monthly traffic volume forecast to meet the demands. At last, the method is validated with the feasibility and accuracy.
Keywords/Search Tags:traffic volume forecast, growth characteristics, the optimization of forecast model, ARIMA model
PDF Full Text Request
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