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Short-term inter-urban traffic forecasts using neural networks

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  • Dougherty, Mark S.
  • Cobbett, Mark R.

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  • Dougherty, Mark S. & Cobbett, Mark R., 1997. "Short-term inter-urban traffic forecasts using neural networks," International Journal of Forecasting, Elsevier, vol. 13(1), pages 21-31, March.
    • Handle: RePEc:eee:intfor:v:13:y:1997:i:1:p:21-31
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    Cited by:

    1. Lu, Xijin & Ma, Changxi & Qiao, Yihuan, 2021. "Short-term demand forecasting for online car-hailing using ConvLSTM networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    2. Wang, Chun & Zhang, Weihua & Wu, Cong & Hu, Heng & Ding, Heng & Zhu, Wenjia, 2022. "A traffic state recognition model based on feature map and deep learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Zhanguo Song & Yanyong Guo & Yao Wu & Jing Ma, 2019. "Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-19, June.
    4. Hilmi Berk Celikoglu & Mehmet Ali Silgu, 2016. "Extension of Traffic Flow Pattern Dynamic Classification by a Macroscopic Model Using Multivariate Clustering," Transportation Science, INFORMS, vol. 50(3), pages 966-981, August.
    5. Md Abul Ehsan Bhuiyan & Feifei Yang & Nishan Kumar Biswas & Saiful Haque Rahat & Tahneen Jahan Neelam, 2020. "Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin," Forecasting, MDPI, vol. 2(3), pages 1-19, July.
    6. Salvo, G. & Amato, G. & Zito, Pietro, 2007. "Bus speed estimation by neural networks to improve the automatic fleet management," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 93-104.
    7. He, Silu & Luo, Qinyao & Du, Ronghua & Zhao, Ling & He, Guangjun & Fu, Han & Li, Haifeng, 2023. "STGC-GNNs: A GNN-based traffic prediction framework with a spatial–temporal Granger causality graph," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    8. Tao Cheng & James Haworth & Jiaqiu Wang, 2012. "Spatio-temporal autocorrelation of road network data," Journal of Geographical Systems, Springer, vol. 14(4), pages 389-413, October.
    9. Kirby, Howard R. & Watson, Susan M. & Dougherty, Mark S., 1997. "Should we use neural networks or statistical models for short-term motorway traffic forecasting?," International Journal of Forecasting, Elsevier, vol. 13(1), pages 43-50, March.
    10. Gencay, Ramazan & Selcuk, Faruk, 2001. "Software reviews," International Journal of Forecasting, Elsevier, vol. 17(2), pages 305-317.
    11. Wang, Wei & Zhang, Hanyu & Li, Tong & Guo, Jianhua & Huang, Wei & Wei, Yun & Cao, Jinde, 2020. "An interpretable model for short term traffic flow prediction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 264-278.
    12. Basu, Debasis & Maitra, Swati Roy & Maitra, Bhargab, 2006. "Modelling passenger car equivalency at an urban midblock using stream speed as measure of equivalence," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 34, pages 75-87.

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