Road OD data reconstruction method

Abstract

Provided is a road OD data reconstruction method. The method comprises: OD reconstruction basic data demand analysis, a priori OD matrix, a link flow distribution matrix obtained by traffic distribution, and link counting data obtained by traffic detection points being the OD reconstruction basic data; OD reconstruction model and algorithm, using a checking method of an inspection region and a maximum entropy principle as theoretical basis of model establishment, and using the predicted priori matrix, an updated distribution model, and link counting data of the traffic detection points as basic data, to establish a base year OD process model and provide a corresponding solution algorithm. The method corrects the predicted OD through traffic flow data obtained by simple traffic detection equipment or observation stations, to obtain brand new base year OD data, and realize OD reconstruction based on checking and a prediction model. The method provides real-time dynamic traffic basic datafor transportation planning, construction and management, improves traffic construction and management informationization level, provides basis for traffic detection point layout.

Description

technical field [0001] The invention relates to the field of data reconstruction, in particular to a road OD data reconstruction method. Background technique [0002] The reconstruction technology of highway OD data refers to: on the basis of in-depth analysis and accurate grasp of the regional road network structure and development trend, comprehensively utilize historical data and real-time traffic volume data obtained by traffic inspection points, and reconstruct historical OD data. Necessary update and maintenance, construct new base year OD data. [0003] Traffic demand forecasting is one of the core contents of traffic planning. When forecasting traffic demand, the basic year resident travel survey data is usually used as the basic data for forecasting. Obtaining these basic data requires a lot of manpower and material resources, and has high requirements for the training and organization of investigators, requiring the cooperation and assistance of multiple departmen...

AI Technical Summary

Problems solved by technology

[0007] It can be seen that the acquisition of data by traditional survey methods requires a large amount of human and material resources. How to make full use of the existing historical OD basic data so that it can be used for curren

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