Method of identifying converse riding behavior of shared bicycle based on historical GPS trajectory

Abstract

The invention discloses a method of identifying a converse riding behavior of a shared bicycle based on a historical GPS trajectory. A riding behavior converse to a standard motor vehicle driving direction in the direction is defined as a converse riding behavior; through identifying each trip of the shared bicycle and matching the trajectory on a road, abnormal trajectory points are eliminated, converse riding behavior identifying method training is carried out, a trajectory clustering result is used to build a standard trajectory database, a candidate trajectory is subjected to parameter matching, and the converse riding behavior of a shared bicycle is identified. The shared bicycle converse riding behavior identifying reliability and the accuracy are improved, the abnormal trajectory points during the riding process can be quickly identified, a standard trip database can also be used to judge the category of a riding behavior, intervention of the shared bicycle converse riding behavior is thus facilitated, the traffic safety level of shared bicycle riding and motor vehicle driving is improved, and practical application value is reflected.

Description

technical field [0001] The invention relates to the technical field of traffic safety management based on big data technology, in particular to a method for identifying retrograde behavior of shared bicycles based on historical GPS tracks. Background technique [0002] Under the development concept of "innovation, coordination, greenness, openness and sharing", shared bicycles are rising in cities at an alarming rate. According to a report by a third-party data research institution, 2017 was the year with the fastest growth of users in China's shared bicycle industry, with a growth rate of 632.1%. In 2018, the number of users will reach 235 million. However, the retrograde phenomenon of shared bicycles is very prominent. This not only seriously interferes with the normal traffic of residents, but also seriously affects the road traffic safety of motor vehicles, increasing the possibility of traffic accidents, especially the retrograde behavior at intersections, which has c...

AI Technical Summary

Problems solved by technology

Existing literature mainly uses image analysis methods to identify the retrograde behavior of motor vehicles, but does not study the retrograde behavior of shared bicycles, and the image analysis method is difficult to identify all retrograde behaviors of shared bicycles

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