Street‐segment‐based salt and abrasive prediction for winter maintenance using machine learning and GIS-Reference-Cited by-同舟云学术

Street‐segment‐based salt and abrasive prediction for winter maintenance using machine learning and GIS

Published:2018-11-21 Issue:1 Volume:23 Page:48-69
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Ahabchane Chahid¹^ORCID,Trépanier Martin¹,Langevin André¹

Affiliation:

1. Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT)Polytechnique Montréal Québec Canada

Funder

Nature and Technology Research Fund of Quebec

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12495

Reference43 articles.

1. Dans les actes du 11e Congrès international de génie industriel 2015 C. Ahabchane M. Trépanier A. Langevin Développement d’indicateurs de performance sur les opérations d’épandage de fondants et d’abrasifs sur réseau routier à partir de données de télémétrie 1 8

2. Representation Learning: A Review and New Perspectives

3. Random search for hyper‐parameter optimization;Bergstra J.;Journal of Machine Learning Research,2012

4. Guidelines for snow and ice control materials and methods;Blackburn R.;Transportation Research Circular,2004

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