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Journal of Advanced Transportation
Volume 2017, Article ID 5142732, 15 pages
https://doi.org/10.1155/2017/5142732
Research Article

Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems

1Department of Civil Engineering and Applied Mechanics, McGill University, Room 268, Macdonald Engineering Building, 817 Sherbrooke Street West, Montréal, QC, Canada H3A 0C3
2Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, CP 6079, Succ. Centre-Ville, Montréal, QC, Canada H3C 3A7

Correspondence should be addressed to Ting Fu; ac.lligcm.liam@uf.gnit

Received 20 June 2016; Accepted 21 September 2016; Published 9 January 2017

Academic Editor: Yue Liu

Copyright © 2017 Ting Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ting Fu, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, and Nicolas Saunier, “Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems,” Journal of Advanced Transportation, vol. 2017, Article ID 5142732, 15 pages, 2017. https://doi.org/10.1155/2017/5142732.