A forecasting method of regional traffic index in daily dimension considering the influence of multiple factors

Abstract

The invention discloses a daily-dimension regional traffic index prediction method considering the influence of multiple factors, including: dividing and aggregating regions; preprocessing the original data of the regional traffic index; considering the influence of multiple factors, predicting the regional traffic index in the daily dimension. The specific technical solution of the present invention is: on the basis of the division of traffic areas, aggregate the traffic areas with the same agglomeration properties, and calculate the regional traffic index; determine the forecast period and forecast period based on the road network operation early warning requirements; Data extraction, supplementation, elimination, comprehensive construction of historical data factor attribute sets from different perspectives and other preprocessing; based on the decision tree theory, regional road network operation congestion status prediction; using the square Euclidean distance to determine the final prediction result of the regional traffic index. On the one hand, this method deepens the monitoring application of the urban road network operation status, and on the other hand provides technical support for the early warning and forecasting of the road network operation status.

Description

Technical field[0001]The invention relates to a daily-dimensional regional traffic index prediction method considering the influence of multiple factors, and belongs to the fields of traffic data mining applications and traffic information prediction.Background technique[0002]With the improvement of traffic informatization and intelligence, cities and regions have realized traffic operation monitoring in different scopes and contents, providing powerful support services to ensure the safe, efficient and green operation of the traffic system. Under the premise of having massive monitoring data, how to shift from passive monitoring of traffic operation status to more proactive early warning, prediction and corresponding management and control measures have become the core issue of increasing concern for industry authorities. Urban road network is the bloodline of an urban traffic road system. If the operation efficiency of the road network is low, the normal operation of the city and ...

AI Technical Summary

Problems solved by technology

Medium and long-term forecasting applications are seldom used, and thus cannot serve industry managers' forward-looking overall grasp of road network operation status in a long period of time in the future

At the same time, the division of factors affecting road network status is not fine enough, and various factors that may affect the operation status of traffic flow have not been fully considered.

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