search query: @indexterm FORECASTING / total: 1417
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| Author: | Chrobok, R. (et al.) |
| Title: | Different methods of traffic forecast based on real data |
| Journal: | European Journal of Operational Research
2004 : JUN, VOL. 155:3, p. 558-568 |
| Index terms: | Traffic Matching problem Forecasting |
| Language: | eng |
| Abstract: | In this paper different methods to forecast traffic are analysed and discussed. An elementary approach is to develop heuristics based on the statistical analysis of historical data. Daily traffic demand data from 350 inductive loops o fthe inner city of Duisburg over a period of 2 years served as input. Two models for short-term forecast are examined: the constant and the linear model. These are compared with a prediction based on heuristics. The results show that the constant model provides good prediction for short horizons whereas the heuristics is better for longer times. |
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