System for forecasting harbor district road traffic requirement based on TransCAD macroscopic artificial platform

Abstract

The invention discloses a harbor district road traffic demand predicting system which is based on a TransCAD macro simulated platform and is used to obtain harbor district road traffic generation amount in an objective year. The predicting system at least comprises a storage module, a harbor district road network model, a road network model application module, a road network loading distribution unit, an analysis evaluation module and a planning module, wherein the storage module is used to store data basis for predicting harbor district road traffic generation amount; the harbor district road network model inputs a harbor district project map into a TrarsCAD model platform through a harbor district project geographical information database so as to establish the harbor district road network model according to road traffic circulation in a harbor district; the road network model application module optimizes and selects traffic parameters by means of genetic algorithm to obtain a harbor district objective year OD matrix; the road network loading distribution unit is used for obtaining the traffic flow distribution state and traffic circulation state of the entire road network; the analysis evaluation module combines with the traffic distribution result to carry out traffic adaptability analysis evaluation on a future road network planning scheme; and the planning module is used to put forward guidance instructions and overall measures with regard to harbor district road traffic planning.

Description

technical field [0001] The invention relates to a method for forecasting road traffic demand in a port area by using information technology. Background technique [0002] With the development of my country's foreign economy, more and more attention has been paid to the planning and construction of seaports. To build a first-class international port, the traffic planning work in the port area must be solved. Traffic forecasting is the key to traffic planning. Is traffic forecasting scientific? It will directly affect the efficiency of traffic planning system if it conforms to reality. Tianjin Port is an important hub of my country's comprehensive transportation system and one of the main coastal hub ports. It is the first large port with a capacity of 100 million tons in northern my country. It ranks among the best ports in the country and ranks among the world's largest ports. With the expansion of the port scale, the diversification of the functions of the port area, and th...

AI Technical Summary

Problems solved by technology

The travel generation mechanism of these traditional methods is quite different from the road traffic demand of the port. Therefore, it is necessary to design a new traffic demand forecasting system to better predict and analyze the road traffic demand in the port area.

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