Short-term travel time prediction

Transportation Research Part C: Emerging Technologies - Tập 11 Số 3-4 - Trang 187-210 - 2003
Xiaoyan Zhang1, John A. Rice1
1Department of Statistics, University of California at Berkeley, Berkeley, CA 94720, USA

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Từ khóa


Tài liệu tham khảo

Burnham, 1998

Danech-Pajouh, M., Aron, M., 1991. ATHENA, a method for short-term inter-urban traffic forecasting. Report 177, INRETS, Arcueil, Paris

Hall, 1989, Evaluation of speed estimates made with single-detector data from freeway traffic management systems, Transportation Research Record, 9

Hastie, 1993, Varying-coefficient models, Journal of the Royal Statistical Society. Series B (Methodological), 55, 757, 10.1111/j.2517-6161.1993.tb01939.x

Hoffmann, G., Janko, J., 1990. Travel times as a basic part of the LISB guidance strategy. In: Proceedings of the Third International Conference on Road Traffic Control. Institution of Electrical Engineers, London, England, pp. 6–10

Hoover, 1998, Nonparametric smoothing estimates of time-varying coefficient models with longituninal data, Biometrika, 85, 809, 10.1093/biomet/85.4.809

Jia, Z., 2001. The PeMS algorithm for accurate, real-time estimates of g-factors and speeds from single-loop detectors. Master’s thesis, Department of Electrical Engineering and Computer Science, University of California, Berkeley

Kirby, 1997, Should we use neural networks or statistical models for short-term motorway traffic forecasting?, International Journal of Forecasting, 13, 43, 10.1016/S0169-2070(96)00699-1

Kwon, J., Coifman, B., Bickel, P.J., 2000. Day-to-day travel time trends and travel time prediction from loop detector data. In: Transportation Research Record, 1717, 120–129

Linhart, 1986

Nicholoson, 1974, The prediction of traffic flow volumes based on spectral analysis, Transportation Research, 8, 533, 10.1016/0041-1647(74)90030-6

Oda, T., 1990. An algorithm for prediction of travel time using vehicle sensor data. In: Third International Conference On Road Traffic Control, Institute of Electrical Engineers, pp. 40–44

Okutani, 1984, Dynamic prediction of traffic volume through kalman filtering theory, Transportation Research, 18, 1, 10.1016/0191-2615(84)90002-X

O’Leary, 1990, Robust regression computation using iteratively reweighted least squares, SIAM Journal of Matrix Analysis and Applications, 11, 466, 10.1137/0611032

Park, D., Rilett, L., 1998. Forecasting multiple-period freeway link travel times using modular neural networks. In: Transportation Research Record. no. 1617. Transportation Research Board, pp. 163–170

Petty, 1996, The freeway service patrol evaluation project : Database support programs, and accessibility, Transportation Research, Part C: Emerging Technologies, 4, 71, 10.1016/0968-090X(96)00001-0

Seki, S., 1995. Travel-time measurement and provision system using AVI units. In: Proceedings of 2nd World Congress on Intelligent Transport Systems. VERTIS, pp. 50–55

Skarbardonis, A., Noeimi, H., Petty, K., D.Rydzewski, Varaiya, P., Al-Deek, H., 1994. Freeway service patrols evaluation. Tech. Rep. PATH Research Report UCB-ITS-PRR-95-5, Institute of Transportation Studies, University of California, Berkeley

Van der Voort, 1996, Combining KOHONEN maps with ARIMA time series models to forecast traffic flow, Transportation Research, 4, 307, 10.1016/S0968-090X(97)82903-8

Vythoulkas, P.C., 1993. Alternative approaches to short term traffic forecasting for use in driver information systems. In: Transportation and traffic theory, 12th International Symposium on Transportation and Traffic Theory, University of Berkeley at California, pp. 485–506