An Urban Traffic Prediction Model Based on Temporal Data Mining in Shanghai City

Author:

Hong Chen

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Shimizu, H., Yamagami, K., Watansbe, E.: Application of State Estimation Algorithms To Hourly Traffic Volume System. In: Proceedings of Second World Congress on ITS, Yokohama, pp. 72–77 (1995)

2. Stephanedes, Y.J., Kwon, E.: Adaptive deman-deversion prediction for integrated control of freeway corridors. Transportation Research 1C, 23–42 (1993)

3. Cremer, M., Keller, H.: A new class of dynamic methods for the identification of origin-destination flows. Transportation Research 21B, 17–32 (1987)

4. Luk, J.Y.K.: Modelling and monitoring the performance of urban traffic control network. Australian Road Research Board SR43, Victoria, Australia (1989)

5. Hunt, P.G., Robertson, D.I., Brethton, R.D., Winton, R.I.: SCOOT – a traffic responsive method of coordinating signals. TRRL LR1014, Transport and Road Research Laboratory, Crowthorne, UK (1981)

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