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Different methods of traffic forecast based on real data

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  • Chrobok, R.
  • Kaumann, O.
  • Wahle, J.
  • Schreckenberg, M.

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  • Chrobok, R. & Kaumann, O. & Wahle, J. & Schreckenberg, M., 2004. "Different methods of traffic forecast based on real data," European Journal of Operational Research, Elsevier, vol. 155(3), pages 558-568, June.
    • Handle: RePEc:eee:ejores:v:155:y:2004:i:3:p:558-568
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    References listed on IDEAS

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    1. J. Esser & M. Schreckenberg, 1997. "Microscopic Simulation of Urban Traffic Based on Cellular Automata," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 8(05), pages 1025-1036.
    2. Dia, Hussein, 2001. "An object-oriented neural network approach to short-term traffic forecasting," European Journal of Operational Research, Elsevier, vol. 131(2), pages 253-261, June.
    3. Wahle, Joachim & Bazzan, Ana Lúcia C & Klügl, Franziska & Schreckenberg, Michael, 2000. "Decision dynamics in a traffic scenario," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 669-681.
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    Cited by:

    1. Yang, Shengjie & Yao, Jiangang & Kang, Tong & Zhu, Xiangqian, 2014. "Dynamic operation model of the battery swapping station for EV (electric vehicle) in electricity market," Energy, Elsevier, vol. 65(C), pages 544-549.
    2. Sun, Qiuxia & Sun, Yixin & Sun, Lu & Li, Qing & Zhao, Jianli & Zhang, Yu & He, Hao, 2019. "Research on traffic congestion characteristics of city business circles based on TPI data: The case of Qingdao, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    3. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    4. 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.
    5. Guardiola, I.G. & Leon, T. & Mallor, F., 2014. "A functional approach to monitor and recognize patterns of daily traffic profiles," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 119-136.
    6. Klepsch, J. & Klüppelberg, C. & Wei, T., 2017. "Prediction of functional ARMA processes with an application to traffic data," Econometrics and Statistics, Elsevier, vol. 1(C), pages 128-149.
    7. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).

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