Chapter
Apr 26, 2012
Urban Short-Term Traffic Flow Prediction Based on Neuro-FDT
Publication: International Conference on Transportation Engineering 2007
Abstract
With the more and more serious problems such as urban traffic accident and jam etc, how to finish short-term traffic forecast is becoming the premise and key of achieving traffic control and inducement. A new forecast method for city short-term traffic flows is presented, based on neuro-fuzzy decision tree method which is different from traditional models and improves FDT's classification accuracy and extracts more accuracy human interpretable classification rules. The results indicate that this method is valid for short-term traffic flows prediction and it will have a good application prospect in this area.
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Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Forecasting
- Infrastructure
- Mathematics
- Model accuracy
- Models (by type)
- Statistics
- Traffic accidents
- Traffic congestion
- Traffic engineering
- Traffic flow
- Traffic management
- Traffic models
- Transportation engineering
- Trees
- Urban and regional development
- Urban areas
- Vegetation
Authors
Affiliations
College of business, Agricultural University of Hebei, Baoding 071001, China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.