Highway origin-destination traffic flow character extraction method

Abstract

The utility model discloses an extraction method for characteristics of origin-destination traffic flow, which is characterized in that for the first step vehicle trip information is acquired in an area between the origin and the destination, and a relational database is formed based on the information; for the second step, according to the information from the first step, a sampling full-day O-D matrix Pkiv is formed based on a group of samples like investigation point, direction and vehicle model: with an investigation point or area as a unit, the group of sampling full-day O-D matrix Pkiv is collected and the sampling expansion of the group of sampling full-day O-D matrix Pkiv is corrected as the O-D data of gross sample with annual representativeness; for the third step, with SQL query method, the traffic flow characteristics can be acquired. The utility model has the advantages that the method organically integrates every step of data processing concerning with the O-D investigation and the section flow investigation based on the universal database, so that users can automatically recognize the investigation content and the coding form in a certain standard framework and various kind of O-D matrix and common traffic flow characteristics can be extracted automatically by the powerful SQL sentences.

Description

Technical field [0001] The invention relates to a method for acquiring traffic flow characteristics, in particular to a method for extracting traffic flow characteristics at the starting and ending points of highways. Background technique [0002] In our country, with the increasing emphasis on scientific decision-making of construction projects during the large-scale development of transportation construction, highway network planning in almost every region and project feasibility study of every high-grade highway require starting and ending point (OD) surveys and their Related section flow survey. The OD survey and its data processing process usually include form design, survey implementation, data coding, data entry and feature extraction. The feature extraction link converts the OD records obtained by the survey into various required OD matrices, and extracts the traffic The composition, distribution and operating characteristics of the quantity. Compared with the other links...

AI Technical Summary

Problems solved by technology

On the other hand, there is an inseparable relationship between the feature extraction link and other links, and the changing factors of each link will increase the difficulty of automatic extraction

[0003] However, there are still many problems in the existing O-D feature extraction technology, which are mainly manifested as automation, versatility, and inflexibility. According to actual needs, various output results are provided; some key indicators need to be calculated manually and cannot be obtained automatically, and the operation is inconvenient; the data processing process of O-D survey and cross-section flow survey is disconnected from each other

Images