Vehicle GPS data processing method used for index statistics of highway passenger and freight transportation

Abstract

The invention discloses a vehicle GPS data processing method used for the index statistics of highway passenger and freight transportation. The method includes the following steps: 1) collecting coach-van GPS trajectory data by a set statistics period, and building a historical database used for the index statistics of highway passenger and freight transportation; 2) performing pre-processing on the collected coach-van GPS trajectory data; 3) performing relational matching on the pre-processed coach-van GPS trajectory data and electronic map road network information of a highway network so that the accurate position of driving vehicles can be determined; 4) determining the starting point and ending point of each travel section of coaches and vans so that the dividing of the coach-van GPS trajectory data can be achieved; and 5) performing transport distance calculating on the coach-van GPS trajectory division data so that three key indexes, which is the ratio of taking expressways, theratio of taking ordinary highways and average transport distances, of the coaches and vans can be obtained. The method has important meanings for building complete automatic statistics of highway network passenger and freight transportation in the case of fully utilizing existing data resources and without increasing software and hardware input.

Description

Technical field [0001] The invention relates to the field of traffic transportation statistics, in particular to a vehicle GPS data processing method used for road passenger and cargo transportation index statistics. Background technique [0002] Traffic volume indicators can provide timely and accurate feedback on the development of macroeconomic indicators (such as GDP). However, due to the many factors involved in the transportation network, the variables are intertwined, and some key data are difficult to obtain through conventional survey and statistical methods. At present, all provinces and cities across the country have failed to achieve automated calculation and analysis in transportation volume statistics. The technical route of "sampling-questionnaire-statistics" cannot comprehensively and quickly reflect the real situation of the road transportation industry, and cannot meet the requirements of the increasingly sophisticated management of transportation networks. [00...

AI Technical Summary

Problems solved by technology

However, due to the many factors involved in the transportation network, the variables are intertwined, and some key data are difficult to obtain through conventional survey and statistics methods. At present, all provinces and cities in the country have not been able to realize automatic calculation and analysis of transportation volume statistics. The technical route of "sampling-questionnaire-statistics" cannot fully and quickly reflect the real situation of the road transportation industry, and cannot meet the growing requirements of refined management of the transportation network

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