Regional Traffic Status Identification of Freight Network in Port Based on Container Truck GPS Data
In order to analyze the spatial and temporal distribution characteristics of regional freight network in port,and efficiently manage and optimize the freight network traffic in port,the traffic state identification and division of freight network in the port were studied,based on real operation and trajectory data of freight container trucks in the case port.Firstly,the DBSCAN algorithm was im-proved based on H3 grid,and the traffic state in the grid field was used as a clustering index to con-struct a space-time matrix to identify and divide the freight network area in the port.Then,the bottle-neck points of the freight network in the port were further investigated by combing with the produc-tion characteristics of ship handling in the port.It was found that the loading and unloading area at the front of the wharf,yard road,and intersection area with main roads were the key bottleneck points in the port area with complexity;Under different scenarios with multi-ship loading and unloading opera-tions in the port,the same berth might restrict different freight corridors.This study could provide new ideas and methods for identifying and analyzing potential'hot spots'of port traffic network under dif-ferent loading and unloading operation scenarios,exploring ways to alleviate the pressure of freight transportation in port freight network,and improving the overall production efficiency of ports.
container portport traffic networkH3 gridclustering algorithmroad network hot areas
万方数据
维普
