Application of the Neural Network and Structural Time Series Models

Format:

Conference/Event

Author/Creator:

Les, Magdalena, author.

Conference Name:

International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress (2002-07-09 : Paris, France)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2002

Summary:

For many years, time series analysis methods have been applied to develop models linking serious road crashes with the effects of socio-economic and other factors. Classical time series models, such as log-linear regression or ARIMA, are useful in describing observed road trauma but are typically poor when used for forecasting road safety trends. In recent years, a new method of forecasting has been developed called an artificial neural network (ANN). The main focus of this research was on examining the possibility of using ANNs for prediction and to find complex relationships hidden' in time series models that classical modelling techniques often fail to reveal. Application of structural time series models for this purpose was also investigated

Notes:

Vendor supplied data

Publisher Number:

2002-01-2007

Access Restriction:

Restricted for use by site license