Real-time traffic condition judging method based on time window

Abstract

The invention discloses a real-time traffic condition judging method based on a time window. The method comprises the following steps of: performing data preprocessing; performing traffic state clustering initialization through a two-step clustering algorithm; updating the time window to obtain the traffic flow base data of a current time interval; and updating two-step clustering algorithm parameters and a clustering center, and judging the real-time traffic state of the current time interval. According to the invention, based on historical traffic flow base data, the traffic state clustering initialization is performed by a two-step clustering algorithm, and the optimal classification of the traffic state is obtained through primary selection of the optimal cluster number and determination of the optimal cluster number respectively; then, based on the initialization result, the real-time data is introduced, and the data is updated dynamically by use of a storage structure of the time window; and finally, the two-step clustering algorithm parameters and the clustering center are calculated and updated in real time, the optimal classification of the traffic state is re-determined, and the real-time traffic state of the current time interval is judged. The method makes up for the limitation of the conventional traffic state judging algorithm, and is of positive significance to promoting the construction of the urban intelligent transport system.

Description

technical field [0001] The invention relates to the application field of intelligent traffic, in particular to a real-time traffic condition discrimination method based on a time window. Background technique [0002] Real-time and accurate traffic status discrimination is one of the key technologies for establishing a comprehensive monitoring system for urban road traffic conditions and a real-time release and guidance system for traffic information. It is an important basis for managers to formulate congestion relief plans and evaluate road traffic performance. It is of great significance to improve road operation efficiency, optimize the distribution of traffic flow in road network space, reduce travel time, and reduce exhaust emissions. [0003] The identification of traffic state and the algorithm of traffic state discrimination constitute the technical system of traffic state discrimination. The identification of traffic state has experienced the evolution and developm...

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