Keyword-statistic-based traffic event identifying method

Abstract

The invention discloses a keyword-statistic-based traffic event identifying method. The method comprises the following steps of: 1) collecting historical information; 2) analyzing the type of a historical traffic event and traffic influence parameters; 3) extracting and classifying keywords in the historical traffic event; 4) acquiring statistic probabilities between the keyword in the historical traffic event and the event type and between the keyword in the historical traffic event and the traffic influence parameters; 5) automatically identifying the traffic event according to test data of the historical traffic event; 6) determining confidence coefficients of the probabilities for the type and the traffic influence parameters of the traffic event with each keyword; and 7) identifying a sudden traffic event in real time by using a matching statistic probability between the keyword and the traffic influence parameters and a confidence coefficient list. By the method provided by the invention, the traffic event can be identified in real time and accurately and influence on a real-time traffic condition of a road network is predicted so as to contribute to running and management of the road network traffic.

Description

technical field [0001] The invention relates to a traffic event recognition method, in particular to a traffic event recognition method based on keyword statistics. Background technique [0002] Traffic incidents are an important factor affecting the normal operation of road traffic. For the road traffic operation status of an area, various acquisition technologies are traditionally used, including coil-type traffic parameter acquisition equipment, mobile signaling or GPS floating vehicle travel information collection, etc., all of which are used to monitor the traffic operation status from the perspective of current situation detection. post-mortem evaluation. However, for the prior prediction of the occurrence of traffic congestion and the judgment of the measures to be taken, it is necessary to understand the cause of the congestion. As an important factor of congestion, traffic incidents will have a sudden impact on the normal operation of road traffic and lead to chan...

AI Technical Summary

Problems solved by technology

However, when a traffic incident occurs, humans cannot timely and accurately judge and process information resources, and make judgments on events that may affect traffic

Therefore, at the current stage, for normalized traffic operations, the impact of unexpected traffic events on road network traffic conditions is often unable to be fed back to traffic managers and traffic information service objects in a timely and accurate manner.

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