Font Size: a A A

Research On Forecasting Demand Of Highway Network Planning In Shanwei

Posted on:2019-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:D ZengFull Text:PDF
GTID:2382330596962312Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
First of all,this paper analyzes the achievements of Shanwei City in recent years in economic development and transportation construction.The economic development of Shanwei City and various counties and districts is described in detail.Then,the traffic development development of Shanwei City and related areas is analyzed in detail.The current road network is evaluated by the indicators of road network density,connectivity,congestion,and average speed.The main problems of the appearance network are summarized.Secondly,from the three levels of Shanwei City,Guangdong Province and regional cooperation,the economic development trends and requirements faced by Shanwei City were studied and judged.The methods of regression analysis and gray model were used for Shanwei City,counties and surrounding areas.Forecast analysis of economic aggregates and population growth.Thirdly,combined with macroeconomic policies and related traffic planning,the paper analyzes and studies the development trend of Shanwei City's transportation,and uses the exponential smoothing method to predict the car ownership.The method of elastic coefficient method is used to predict and predict the future passenger and cargo volume of Shanwei City.Finally,based on the above-mentioned economic and social development demand forecast and transportation forecast,relying on the Guangdong province global model,based on the multivariate data such as traditional traffic survey data and highway network charging data,TransCAD is used according to the principle of “four-stage method”.Conducting various modes of traffic forecasting provides important data support for scientific and systematic road network planning.
Keywords/Search Tags:road network planning, demand analysis, economic forecasting, traffic forecasting
PDF Full Text Request
Related items