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When cars and wildlife collide: Virtual reality could prevent real-life road accidents

Date:
July 29, 2015
Source:
Pensoft Publishers
Summary:
Using a novel simulation approach, researchers took a closer look at how an interactive system, meant to reduce road accidents involving wild animals, can actually affect driver behavior.
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Roadside Animal Detection Systems (RADS), which use sensors to detect large animals on the road and to alert drivers by activating flashing lights on warning signs, could be the answer for preventing numerous wildlife casualties.

Such systems have been tested with varying degrees of success since the 1990s. Researchers from the University of Central Florida have now implemented a novel simulation approach to evaluate their efficiency. The study can be found in the open-access journal Nature Conservation.

The researchers stress that road accidents involving wild animals are posing a real threat to their populations.

Working with the UCF Institute for Simulation and Training, the researchers created a virtual road for test subjects to drive along in a realistic driving simulator. Some subjects were tested with a RADS, while some were not. The researchers evaluated their responses to an animal darting out into the road during the simulated drive.

In addition, the researchers tested whether simple, picture-based warning signs yielded better results than text-based ones. Using a simulator had additional benefits: "We were able to study responses that would be extremely difficult to measure using field observations, such as the precise moment a subject started braking," said Dr. Daniel Smith, a Principal Investigator on the study.

Although picture-based warning signs outperformed word-based warning signs, both RADS versions were better than nothing at all, causing drivers to reduce their speed and brake earlier in response to an animal than drivers who had no warning system.

"There are different types of RADS that vary in how warnings are conveyed to drivers, but they are installed in completely different locations, so their performance can't be directly compared," said Molly Grace, a PhD candidate at UCF. "So, it was decided that rather than just performing traditional, on-the-ground monitoring of a single RADS, we would conduct a carefully-controlled simulation study in which we could vary aspects of the system."

The simulated road was modeled after Highway 41 in Big Cypress National Park, Florida, where a RADS was installed in 2012 to reduce road-kill of the endangered Florida panther. "Road-kill is the largest controllable source of mortality for the Florida panther, and has been increasing virtually every year," said the study's other PI, Dr. Reed Noss.

"As more is learned about Roadside Animal Detection Systems, it is possible that we may start to see more of them at roadkill hotspots like the one in Big Cypress, hopefully making roads safer not just for panthers and other wildlife, but for humans as well," he added.


Story Source:

Materials provided by Pensoft Publishers. The original story is licensed under a Creative Commons License. Note: Content may be edited for style and length.


Journal Reference:

  1. Molly K. Grace, Daniel J. Smith, Reed F. Noss. Testing alternative designs for a roadside animal detection system using a driving simulator. Nature Conservation, 2015; 11: 61 DOI: 10.3897/natureconservation.11.4420

Cite This Page:

Pensoft Publishers. "When cars and wildlife collide: Virtual reality could prevent real-life road accidents." ScienceDaily. ScienceDaily, 29 July 2015. <www.sciencedaily.com/releases/2015/07/150729101928.htm>.
Pensoft Publishers. (2015, July 29). When cars and wildlife collide: Virtual reality could prevent real-life road accidents. ScienceDaily. Retrieved May 27, 2017 from www.sciencedaily.com/releases/2015/07/150729101928.htm
Pensoft Publishers. "When cars and wildlife collide: Virtual reality could prevent real-life road accidents." ScienceDaily. www.sciencedaily.com/releases/2015/07/150729101928.htm (accessed May 27, 2017).

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