Testing alternative designs for a roadside animal detection system using a driving simulator

Molly K. Grace; Daniel J. Smith; Reed F. Noss

doi:10.3897/natureconservation.11.4420

Research Article

Nature Conservation 11: 61-77
https://doi.org/10.3897/natureconservation.11.4420 (28 Jul 2015)

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Molly K. Grace, Daniel J. Smith, Reed F. Noss (2017)
Reducing the threat of wildlife-vehicle collisions during peak tourism periods using a Roadside Animal Detection System. Accident Analysis & Prevention 109: 55.

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Speed reduction effects over distance of animal-vehicle collision countermeasures – a driving simulator study. European Transport Research Review 10: .

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Protecting the protected: reducing wildlife roadkill in protected areas. Animal Conservation 22: 396.

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Using road patrol data to identify factors associated with carnivore roadkill counts. PeerJ 7: e6650.

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Englefield Englefield, Candy Candy, Starling Starling, McGreevy McGreevy (2019)
A Trial of a Solar-Powered, Cooperative Sensor/Actuator, Opto-Acoustical, Virtual Road-Fence to Mitigate Roadkill in Tasmania, Australia. Animals 9: 752.

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Mariano Gonzalez-de-Soto, Rocio Mora, José Antonio Martín-Jiménez, Diego Gonzalez-Aguilera (2020)
A New Roadway Eventual Obstacle Detection System Based on Computer Vision. Sensors 20: 5109.

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Jeffrey W. Gagnon, Norris L. Dodd, Scott C. Sprague, Kari S. Ogren, Chad D. Loberger, Raymond E. Schweinsburg (2019)
Animal-activated highway crosswalk: long-term impact on elk-vehicle collisions, vehicle speeds, and motorist braking response. Human Dimensions of Wildlife 24: 132.

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Andreas Seiler, Jan-Olof Helldin (2015)
Greener transport infrastructure – IENE 2014 International Conference. Nature Conservation 11: 5.

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