Chahid Ahabchane, Martin Trépanier
and André Langevin
Article (2018)
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| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: | CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation |
| PolyPublie URL: | https://publications.polymtl.ca/42052/ |
| Journal Title: | Transactions in GIS (vol. 23, no. 1) |
| Publisher: | Blackwell Publishing |
| DOI: | 10.1111/tgis.12495 |
| Official URL: | https://doi.org/10.1111/tgis.12495 |
| Date Deposited: | 18 Apr 2023 15:02 |
| Last Modified: | 25 Sep 2024 16:28 |
| Cite in APA 7: | Ahabchane, C., Trépanier, M., & Langevin, A. (2018). Street-segment-based salt and abrasive prediction for Winter maintenance using machine learning and GIS. Transactions in GIS, 23(1), 48-69. https://doi.org/10.1111/tgis.12495 |
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