A spatiotemporal risk prediction of wildlife-vehicle collisions using machine learning for dynamic warnings

Author:

Pagany Raphaela

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction

Reference72 articles.

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2. Spatiotemporal variation of roadkills show mass mortality events for amphibians in a highly trafficked road adjacent to a national park, Costa Rica;Arevalo;Revista de Biología Tropical,2017

3. Beshah, T. & Hill, S. (2010). Artificial Intelligence for Development, Papers from the 2010 AAAI Spring Symposium, Technical Report SS-10-01, Stanford, California, USA, March 22-24, 2010. Retrieved March 12, 2020, from http://www.aaai.org/ocs/index.php/SSS/SSS10/paper/view/1173.

4. Animal-related vehicle accidents at the Los Alamos National Laboratory, New Mexico;Biggs;Southwestern Naturalist,2004

5. The KDE+ software: A tool for effective identification and ranking of animal-vehicle collision hotspots along networks;Bíl;Landscape Ecology,2016

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