The invention discloses a day-dimension regional traffic index prediction method considering influences of
multiple factors. The method comprises the steps that regions are divided and aggregated; regional traffic index
original data preprocessing is carried out; the influences of
multiple factors are considered, and regional traffic index prediction under the day dimension is carried out. According to the specific technical scheme of the method, on the basis of traffic
cell division, traffic cells with the same aggregation property are aggregated, and regional traffic indexes are calculated;on the basis of road network operation early warning requirements, a prediction time period and a prediction cycle are determined; regional traffic data is extracted, made up for and removed, and preprocessing such as comprehensive building of a historical data factor attribute set from different angles is conducted on the data; on the basis of a
decision tree theory, regional road network operation congestion
state prediction is carried out; a final prediction result of the regional traffic indexes is determined by means of the square
euclidean distance. By means of the method, on the one hand, monitoring and application of the
urban road network operation state is deepened, and on the other hand,
technical support is provided for early warning and forecasting work of the road network operation state.