Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Reference83 articles.
1. Aamer, A., Eka Yani, L. P., & Alan Priyatna, I. M. (2020). Data analytics in the Supply Chain Management: Review of machine learning applications in demand forecasting. Operations and Supply Chain Management, 14, 1–13. https://doi.org/10.31387/oscm0440281.
2. Adnan, M., Gazder, U., Yasar, A., ul, H., Bellemans, T., & Kureshi, I. (2021). Estimation of travel time distributions for urban roads using GPS trajectories of vehicles: A case of Athens, Greece. Personal and Ubiquitous Computing, 25, 237–247. https://doi.org/10.1007/s00779-020-01369-4.
3. Albadrani, A., Zohdy, M. A., & Olawoyin, R. (2020). An approach to optimize future inbound logistics processes using machine learning algorithms. IEEE International Conference on Electro Information Technology, 5, 402–406.
4. Alvarez, P., & Hadi, M. (2012). Time-variant travel time distributions and reliability metrics and their utility in reliability assessments. Transportation Research Record, 2315, 81–88. https://doi.org/10.3141/2315-09.
5. Ansari Esfeh, M., Kattan, L., Lam, W. H. K., Ansari Esfe, R., & Salari, M. (2020). Compound generalized extreme value distribution for modeling the effects of monthly and seasonal variation on the extreme travel delays for vulnerability analysis of road network. Transportation Research Part C: Emerging Technologies, 120(March), 102808. https://doi.org/10.1016/j.trc.2020.102808.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献