出版社：Faculty of Humanities, Kaunas University of Technology
其他摘要：In order to improve traffic conditions in the urban streets, traffic flow forecasting precision is one of the major tasks. How to improve traffic flow prediction precision remains an important problem of intelligent transportation systems. A lot of methods of Short- term traffic flow forecasting are designed. The methods are developed and optimized in order to obtain more accurate forecasting information. Often traffic flow forecasting accurate depends of traffic flow data collection accurate. We propose short- term traffic flow forecasting method based on improved data detection technology. Method tested with different forecasting models. Results show that proposed method is very suitable for short- term traffic flow forecasting.
