A method and device for emergency event identification

Abstract

The invention discloses a method and a device of emergency identification. The method comprises the steps of obtaining traffic data of at least one data source of a road section to be identified, according to traffic data of at least one data source, determining a traffic congestion identification index of at least one data source, according to a traffic congestion identification index of the at least one data source of the road section to be identified and historical data of the traffic congestion identification index, determining sudden change situations of each traffic congestion identification index corresponding to the road section to be identified, evaluating the sudden change situations of each traffic congestion identification index corresponding to the road section to be identified, determining an evaluation value of the road section to be identified, if the evaluation value of the road section to be identified is greater than the first threshold, then the road section to be identified is determined to be the road section where the emergency occurs. Traffic state is judged by multiple data sources, the inherent limitation of judging traffic state based on single source data is overcame, and the accuracy and practical application of discrimination results are ensured.

Description

technical field [0001] The embodiments of the present invention relate to the field of traffic technology, and in particular, to a method and device for identifying emergencies. Background technique [0002] In the field of intelligent transportation, timely access to sudden traffic congestion information will be of great help to traffic management and control, which will help improve the level of traffic control and reduce urban road congestion. With the development of informatization and artificial intelligence technology, traffic management departments can obtain more and more traffic data from different data sources, which provides a basis for judging sudden traffic congestion incidents on road sections. At present, unexpected traffic congestion incidents on road sections are mainly obtained through manual video inspection and citizen reporting. The efficiency of manual inspection is low and the number is small, and it is mainly reported by citizens. Therefore, the numbe...

AI Technical Summary

Problems solved by technology

At present, unexpected traffic congestion incidents on road sections are mainly obtained through manual video inspection and citizen reporting. The efficiency of manual inspection is low and the number is small, and it is mainly reported by citizens. Therefore, the number of complaints from citizens about emergencies remains high. On the one hand, it cannot reflect the traffic operation status in real time. On the other hand, traffic emergencies are likely to cause sudden traffic congestion. If they are not handled in time, vehicles on the road will pass slowly, and the queue will spread until it overflows, resulting in a larger area of ​​traffic paralysis.

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