A Multimodal Traffic Anomaly Detection Method Based on Travel Time Distribution

A travel time and anomaly detection technology, applied in the field of traffic detection, can solve problems such as failure to consider the influence of weather and traffic situation changes, inability to analyze the characteristics and causes of abnormal traffic conditions, and lack of basis for traffic scene division, and achieve good detection results. Highly reliable, well-characterized effects
CN109844832BActive Publication Date: 2021-06-15TONGJI UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
TONGJI UNIV
Publication Date
2021-06-15

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Abstract

A multi-modal traffic anomaly detection method based on travel time distribution, using the vehicle-mounted GNSS positioning device of the floating car, can obtain its spatial location information at different times, and through the analysis and mining of massive floating car track information, it can realize urban road traffic Intelligent detection of abnormal events. The detection method uses the probability distribution of the travel time to represent the traffic state, uses the probability distribution difference measurement index to reflect the traffic state difference, and considers the traffic state difference under various environmental states. It has the characteristics of clear principle, simple implementation and high detection rate.
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Description

technical field

[0001] The invention belongs to the technical field of traffic detection. In particular, the present invention relates to a real-time detection method for urban road traffic anomalies. Through the vehicle-mounted GNSS positioning device of the floating vehicle, its spatial position information at different times can be obtained, and after data preprocessing, map matching and data fusion, the probability distribution of travel time in a specific space-time range can be obtained; according to the change of travel time distribution, it can be effectively Identify abnormal events in urban road traffic. Background technique

[0002] Traffic anomaly event detection is an important part of urban traffic management and one of the core functions of intelligent transportation systems. Abnormal traffic events mainly include traffic accidents, vehicle breakdowns, falling objects from trucks, damage or failure of road traffic facilities, and other special events that ca...

Claims

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