A Retrograde Behavior Recognition Method Based on Bicycle Trajectory Data

A technology of trajectory data and identification method, which is applied to the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve problems such as affecting the accuracy of retrograde detection and ignoring the random position offset of the positioning system, achieving strong innovation significance and improving The effect of efficiency, high precision and reliability

Active Publication Date: 2020-06-09
BEIHANG UNIV
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  • Application Information

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Problems solved by technology

Although this method can evaluate the retrograde behavior on the road network on a large scale, it ignores the random position offset of the potential positioning system, which seriously affects the accuracy of retrograde detection.

Method used

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  • A Retrograde Behavior Recognition Method Based on Bicycle Trajectory Data
  • A Retrograde Behavior Recognition Method Based on Bicycle Trajectory Data
  • A Retrograde Behavior Recognition Method Based on Bicycle Trajectory Data

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Embodiment

[0063] A retrograde behavior recognition method based on bicycle track data, specifically as follows:

[0064] 1) Taking Wuhou District of Chengdu as an example, the first step is to acquire trajectory data and corresponding road network data, and complete data preprocessing.

[0065] 2) Carry out map matching of bicycle track and road network data, and add four elements for each track point: road number, road direction, projection deviation, and projected driving distance. image 3 a shows a one-way road to which trajectory points P1, P2, and P3 are matched. The matching results are: P1{101,1,0.7m,0}; P2{101,1,0.5m,1.6m}; P3{101,1,0.6m,4.0m}. image 3 b shows a two-way road to which trajectory points P4, P5, and P6 are matched. The matching results are: P4{203, 0, 0.9m, 0}; P5{203, 0, 0.7m, 2.3m}; P6{203, 0, 0.7m, 4.1m}. In each trajectory, the projected deviations of the three trajectory points are all less than the threshold of 20m, and the projected driving distance gra...

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Abstract

The invention discloses a converse traffic behavior identification method based on bicycle track data, which comprises the following steps: 1) bicycle driving track data are acquired and cleaned, wherein to-be-cleaned tracks comprise a track with a lower sampling rate and a track with an abnormal speed, 2) map matching is carried out: each track is projected to a corresponding road section to realize map matching; 3) the converse traffic of the bicycle is judged on a one-way road; 4) the converse traffic of the bicycle is judged on a two-way road; and 5) the frequency of the converse traffic events of bicycles on each road section within a period of time is counted, five levels are divided with frequency panes, and the road sections are marked on an OSM map platform by using different colors to represent the converse traffic severity. According to the method, the converse traffic behavior is judged through map matching and a geometric method without the help of a geographic informationsystem platform, so that the precision of converse traffic detection is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic information processing, and more specifically relates to a method for identifying retrograde behavior based on bicycle track data. Background technique [0002] Cycling is a popular, healthy and environmentally friendly way of travel, especially for the "last mile" problem. Especially in recent years, the emergence of shared bicycles has greatly stimulated the demand for cycling. However, the dramatic increase in bicycle use may also present additional safety risks. Bicycles have various riding behaviors on ordinary roads, although there are no corresponding laws and regulations to strictly control them, and some dangerous riding behaviors, such as retrograde and running red lights, are undoubtedly potential threats to traffic safety. [0003] Among the many dangerous riding behaviors, retrograde has always been one that occurs frequently and is easily ignored by riders. There are t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/056
CPCG08G1/0125G08G1/056
Inventor 马晓磊栾森李萌李欣
Owner BEIHANG UNIV
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