Online GPS data based abnormal taxi track real-time detection method

Abstract

The invention discloses an online GPS data based abnormal taxi track real-time detection method. The method comprises the steps of 1, building a road network model to a target city according to open source type open street map data; 2, solving the recommended taxi driving route candidate set Rec in the road network model through the k shortest route algorithm; 3, detecting the abnormal track of an online operating taxi on real time according to the recommended route candidate set Rec and the recommended route selected by a driver, the real-time GPS data set of the current taxi and the feedback of a passenger to the current taxi driving track, and reporting the real-time detection result to a transportation bureau; 4, analyzing the online taxi abnormal track detection result, and extracting the specific taxi running rules to obtain the regional taxi abnormal driving reports.

Description

technical field [0001] The invention relates to the field of traffic big data processing and computer real-time calculation, in particular to a method for real-time detection of abnormal taxi trajectory based on online GPS data. Background technique [0002] With the rapid development of sensor technology, massive location track information is constantly generated by sensors, especially GPS (Global Position Systems) sensors, and through effective data analysis methods, the potential data value hidden behind these track information can be tapped out . Mobile traffic data collected from taxis equipped with GPS devices provides a variety of analytical methods for analyzing taxi driver behavior and road network changes. Moreover, mining specific GPS trajectory patterns can promote public transportation management, urban construction, and the improvement of the quality of public social services. The potential value of GPS trajectories has been reflected in many applications, su...

AI Technical Summary

Problems solved by technology

Although there are many trajectory anomaly detection technologies at this stage, there are still some problems that have not been effectively solved. For example, most trajectory anomaly detection technologies are mainly aimed at the detection of taxi fraud after a long time. In addition, the Traffic Management Bureau has to bear the cost of the taxi driver's defense, which cannot provide effective management for the supervision of the taxi market.

Furthermore, most of the current abnormal trajectory detection relies on data analysis and reasoning, which cannot handle the special needs of some passengers.

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