Open Access
| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 3 | |
| Section | Health | |
| DOI | https://doi.org/10.1051/itmconf/20246902003 | |
| Published online | 13 December 2024 | |
- Hoff, A., Lium, A.G., Lokketangen, A., Crainic, T.G. (2010). A Metaheuristic for Stochastic Service Network Design. Journal of Heuristics, 16, pp. 653–679. [CrossRef] [Google Scholar]
- Verma, M., Verter, V., Gendreau, M. (2010). A Tactical Planning Model for Railroad Transportation of Dangerous Goods. Working paper, CIRRELT: Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation, Montreal, Canada. [Google Scholar]
- Zhu, E., Crainic, T. G., & Gendreau, M. (2014). Scheduled service network design for freight rail transportation. Operations research, 62(2), 383–400. [CrossRef] [MathSciNet] [Google Scholar]
- Laaziz, E.H. (2016). Modeling framework for intermodal dry port based hinterland logistics system. Journal of theoretical & applied information technology, 94(1). [Google Scholar]
- Laaziz, E. H., & Sbihi, N. (2019). A service network design model for an intermodal railroad freight forwarder. International Journal of Logistics Systems and Management, 32(34), 465–482. [CrossRef] [Google Scholar]
- Laaziz, E. H. (2017). Intermodal transportation and CO2 emissions: a review, assessment and a case study. World Review of Intermodal Transportation Research, 6(4), 273–290. [CrossRef] [Google Scholar]
- Bouchery, Y., & Fransoo, J. (2015). Cost, carbon emissions and modal shift in intermodal network design decisions. International Journal of Production Economics, 164, 388399. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.