A real-time recognition method of shared bicycle retrograde behaviors based on probability graph model

A probabilistic graph model and shared bicycle technology, applied in the field of real-time identification of shared bicycle retrograde behavior based on probabilistic graph model, can solve the problems of unstudied shared bicycle retrograde behavior and difficulty in timely identification of shared bicycle retrograde behavior, and achieve perfect urban micro Circulation, strengthening advantages, and improving the effect of traffic safety level

Inactive Publication Date: 2019-02-19
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

The 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 image analysis methods are difficult to identify the retrograde behavior of shared bicycles in time

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  • A real-time recognition method of shared bicycle retrograde behaviors based on probability graph model
  • A real-time recognition method of shared bicycle retrograde behaviors based on probability graph model
  • A real-time recognition method of shared bicycle retrograde behaviors based on probability graph model

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] This embodiment is a real-time recognition method for shared bicycle retrograde behavior based on a probabilistic graph model, which defines a line event formed by multiple consecutive track points that appear in the shared bicycle GPS track and do not match the standard motor vehicle driving direction. It is a retrograde behavior of sharing bicycles. Using the user ID as a category, use the Baidu map API to match the track points in each user's riding behavior to the map in real time, and find out the relationship between the track points and the track points through the probability graph model, so as to fall in the standard motor vehicle driving direction The probability within the road range establishes the conditional distribution, and after verifying its reliability, the model structure and parameters are clarified, that i...

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Abstract

The invention discloses a real-time identification method of shared single vehicle retrograde behaviors based on a probability graph model, which includes: defining a line event formed by a pluralityof continuous unmatched track points in a GPS track of the shared single vehicle and within a road range of a standard driving direction of a motor vehicle as a retrograde behavior of the shared single vehicle. The eagle-eye trajectory interface of Baidu Map is used to match the trajectory points of a user in a cycling behavior to the map in real time. The conditional probabilities of each trajectory point are obtained by constructing a shared trajectory point probability graph model. When the probability of three consecutive trajectory points falling within the road range of standard vehicledriving direction is less than the set threshold, the event of this line is judged to be retrograde behavior. The invention can identify the retrograde behavior of the shared single car in real time,which is favorable for timely intervention, thereby improving the traffic safety level of the non-motor vehicle and the motor vehicle, and embodying the practical application value.

Description

technical field [0001] The invention relates to the field of big data traffic safety management, in particular to a method for real-time identification of retrograde behavior of shared bicycles based on a probability graph model. 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 caused grea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06N7/00G06N5/04H04W4/029G08G1/01H04W4/40
CPCH04W4/029H04W4/40G06N5/04G08G1/0104G06N7/01
Inventor 付川云刘华刘岩
Owner SOUTHWEST JIAOTONG UNIV
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