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Recent advances and applications in the field of short-term traffic forecasting

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  • Van Arem, Bart
  • Kirby, Howard R.
  • Van Der Vlist, Martie J. M.
  • Whittaker, Joe C.

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  • Van Arem, Bart & Kirby, Howard R. & Van Der Vlist, Martie J. M. & Whittaker, Joe C., 1997. "Recent advances and applications in the field of short-term traffic forecasting," International Journal of Forecasting, Elsevier, vol. 13(1), pages 1-12, March.
    • Handle: RePEc:eee:intfor:v:13:y:1997:i:1:p:1-12
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    References listed on IDEAS

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    1. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
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    Cited by:

    1. Jin, Feng & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2020. "Forecasting air passenger demand with a new hybrid ensemble approach," Journal of Air Transport Management, Elsevier, vol. 83(C).
    2. Chikaraishi, Makoto & Garg, Prateek & Varghese, Varun & Yoshizoe, Kazuki & Urata, Junji & Shiomi, Yasuhiro & Watanabe, Ryuki, 2020. "On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis," Transport Policy, Elsevier, vol. 98(C), pages 91-104.
    3. Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2020. "Traffic forecast inaccuracy in transportation: a literature review of roads and railways projects," Transportation, Springer, vol. 47(4), pages 1571-1606, August.
    4. Nataša Glišović & Miloš Milenković & Nebojša Bojović & Libor Švadlenka & Zoran Avramović, 2016. "A hybrid model for forecasting the volume of passenger flows on Serbian railways," Operational Research, Springer, vol. 16(2), pages 271-285, July.
    5. Dariusz Bernacki & Christian Lis, 2021. "Exploring the Sustainable Effects of Urban-Port Road System Reconstruction," Energies, MDPI, vol. 14(20), pages 1-23, October.

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