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摘要
This paper presents a hybrid approach to developing a short-term traffic flow predicting model. In this approach a primary model is synthesized based on Neural Networks and then the model structure is optimized through Genetic Algorithm. Vie proposed approach is applied to a rural highwav, Ghazvin-Rasht Road in Iran. The obtained results are acceptable and indicate that the proposed approach can improve model accuracy while reducing model structure complexity. Minimum achieved prediction r2 is 0.73 and number of connection links at least reduced 20% as a result of optimization.
- 出版日期2009-3
