Speed ​​Correction Method for Expressway Sections Based on Multiple Types of Floating Car Data

Abstract

The invention discloses a highway section speed correction method based on multiple types of floating car data. Reliability analysis is conducted on taxi data in floating cars, a conclusion is drawn through hypothesis testing that the speeds in taxi road sections on highways are hardly different from the speeds of traffic flows, and the speeds at the taxi road sections can serve as the speeds of highway sections in calculation; then, floating car data distribution on the highways is analyzed, it is found that the speeds of taxis on the highways are higher those of operation vehicles (passenger vehicles and freight vehicles), most of the taxis run on highways close to a downtown, while the operation vehicles basically cover a highway network. Based on the distribution difference, the highway section speed correction method is provided for obtaining relatively accurate road section speeds from highways having no taxi data and only having operation vehicle data.

Description

technical field [0001] The invention relates to the field of intelligent transportation, and more particularly, to a speed correction method for highway sections based on data of multiple types of floating vehicles. Background technique [0002] Floating car GPS data is an important traffic data in the intelligent transportation system. According to the vehicle type, the floating car data can be further divided into taxi data and operating car data. These GPS data are first matched to the electronic map through map matching technology, and then passed through the speed. The estimation model calculates the speed of a single floating car, and finally takes the average speed of all floating cars on the same road segment as the road segment speed. [0003] At present, there are various types of floating vehicles on the expressway. Although the aggregation and access of data from multiple types of floating vehicles can improve the coverage of the data on the expressway network, h...

AI Technical Summary

Problems solved by technology

[0003] At present, there are many types of floating cars on the expressway. Although the data aggregation and access of multi-type floating cars can improve the coverage of the expressway network, how to effectively use them to realize the estimation of the overall traffic flow speed of the expressway section , it mainly faces the following problems: 1) The consistent representation of the speed of multi-type floating vehicles, that is, the relationship between the speed of different types of vehicles and the overall traffic flow velocity is not the same, directly using the estimation of the overall traffic flow velocity will greatly affect the road section

[0004] At present, there are few studies on speed estimation based on multi-type floating car data. The following studies are mostly aimed at urban roads, and there is a lack of research on the speed relationship of different types of floating cars in expressway scenarios.

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