Selection And Optimization Of Integrated Transport Corridor For Freight

The construction of freight corridor is a key factor affecting the operational efficiency of the freight transport system and is closely related to the development of the social economy.The physical elements that make up the social goods transportation system include two important parts: the freight node and the freight corridor.Among them,the freight corridor plays the role of connecting freight nodes and expanding the radiation range of the nodes,and is an important infrastructure for realizing the efficient operation of the social cargo transportation system.Identifying and optimizing the transport corridors for freights within the region is conducive to the promotion of regional economic development.Transport corridors have a certain depth and breadth in theoretical research and practical planning.Data-based corridor planning studies obviously lag behind the requirements for corridor construction.This article takes the transportation demand as the direction and uses data mining analysis technology to solve the data application problem.The 2015 freight transportation data of Jilin Province was used to study the selection and optimization model of integrated transport corridor for regional freight.Mainly based on highway toll collection data,supplemented by national observation station data,road transport sampling survey data,and statistical yearbook data.Based on the theory of transport corridors,the thesis elaborates the centrality of complex networks and comprehensively considers the attributes of cities and the centrality of network nodes.It designs a route selection method for the comprehensive capacity of lines with complementary advantages of line importance method and route exchange capability.Corridor selection based on the measure of the centrality of eigenvectors will increase the individual value of the node cities in the corridor to the value of the entire network,which will help to exert the influence and radiation of the city.In terms of corridor optimization,this paper modified the DBSCAN clustering algorithm based on the linear characteristics and width characteristics of the corridor,added the angle factor,segmented the transportation demand line,and clustered the lines from the set point of view and width to the same corridor.Sensitivity analysis was performed on the four parameters in the DBSCAN-Corridor-Clustering method to study the effect of changes in freight turnover,segment length,width,and angle parameters on corridor clustering performance between ODs.Analyzed the cost,time efficiency,and quality characteristics of transportation for both the highway and railway freight transport modes within the corridor,and studied the relationship between the traffic volume-driving and distance-share rate,then give the optimization proposal for the freight turnover volume sharing rate of the main corridor.According to the theory of spatial data mining,the concept of Voronoi’s sphere of influence is introduced to divide the space of attraction of the channel node.Based on the theory of transport corridor planning,the full paper combines the measurement of complex network centrality and data mining technology,and completes the selection of corridor lines,the axis mining,the optimization of internal configuration and the optimization of the spatial range from three levels.The basis for the adjustment of the integrated freight lane planning and the division of authority and responsibility for the construction scope is given,which provides a reference for improving the service efficiency of the cargo transport corridor.