Traffic Speed Prediction Under Weekday, Time, and Neighboring Links’ Speed: Back Propagation Neural Network Approach

Author:

Lee Eun-Mi,Kim Jai-Hoon,Yoon Won-Sik

Publisher

Springer Berlin Heidelberg

Reference9 articles.

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2. Williams, B.M., Durvasula, P.K., Brown, D.E.: Urban Freeway Traffic Flow Prediction Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models. Transportation Research Record. 1644, Transportation Research Board, Washington, DC, pp. 132-141 (1998)

3. Okutani, I., Stephanedes, J.: Dynamic Prediction of Traffic Volume through Kalman Filter Theory. Transportation Research, Part B 18B, 1–11 (1984)

4. Park, D., Rilett, L.: Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural Networks. TRB (1998)

5. Smith, B.L., Demetsky, M.J.: Short-Term Traffic Flow Prediction Neural Network Approach. Transportation Research Record, 1453, Transportation Research Board, Washington, DC, pp. 98-104 (1994)

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