Looking Both Ways: The Role of Drivers in Animal-Vehicle Collisions
Roadways are often studied from the perspective of wildlife, where animals cross, when they move, and how they respond to traffic. These patterns have helped identify high-risk areas and inform strategies to reduce collisions. But every encounter on the road involves two participants. While animal behavior has been widely examined, the role of the driver, how hazards are detected, interpreted, and responded to in real time, has received far less attention, despite being a critical factor in whether a collision occurs.
Researchers from the University of Georgia’s Savannah River Ecology Laboratory examined this overlooked side of the interaction by focusing on how driver behavior influences animal-vehicle collisions. The study, led by Carson Pakula, who conducted the research as a doctoral student and is now a postdoctoral research associate, drew from 118 published studies to better understand how drivers notice, interpret, and respond to wildlife on roadways.
Rather than looking only at where collisions happen, the team focused on what drivers are actually doing in the moments leading up to them. They described collisions as a sequence in which a driver must first notice the animal, recognize it as a risk, and then react in time to avoid hitting it. When any step in that process breaks down, a collision can still occur, even when both the driver and the animal are behaving as expected.
“Most of the research so far has focused on animal-based behaviors with studies identifying the decisions animals must make to avoid a collision,” says Pakula. “As drivers are involved in most wildlife-vehicle collisions, I was interested in adapting this approach to identify what factors influences specific driver behaviors during an interaction. “
Across the research, vehicle speed emerged as one of the most consistent factors influencing collision risk. Faster speeds reduce the time available for drivers to react and increase the distance needed to stop, and these effects become even more pronounced at night. Headlights illuminate only a limited distance ahead, which means drivers may be traveling faster than they can safely see, especially on unfamiliar roads.
However, speed does not always affect collisions in the same way across different road types. High-speed roads may discourage animals from crossing, while moderate-speed roads can see more frequent crossings. These patterns reflect how closely driver behavior and animal behavior are linked, with each influencing the other.
The study also examined how warning systems, including standard roadside signs and animal detection technology, affect driver behavior. Traditional wildlife crossing signs often have limited impact because drivers become used to seeing them without encountering animals. In contrast, signs that activate when animals are present show more promise, as they can increase driver awareness and encourage slower speeds, although their long-term effectiveness remains uncertain.
Road conditions and surrounding environments also influence how well drivers can detect animals. Curves, dense roadside vegetation, and low-light conditions can reduce visibility, while open roads may encourage faster speeds or reduced attention. Animal characteristics further shape these interactions, as larger animals are generally easier to detect, whereas smaller or less visible species may go unnoticed until it is too late.
Despite decades of research, few studies directly measure how drivers respond to animals in real-world conditions. Much of what is currently understood comes from indirect evidence rather than observations of driver decision-making as it occurs.
“One of the biggest challenges with studying driver reactions in real time is the logistical difficulty of observing driver behavior in truly realistic conditions. While driving simulators and decoy animals allow for researchers to test how well drivers can detect animals, these approaches lack real world complexities which can which may limit how well the findings translate to actual wildlife encounters,” explains Pakula. “Capturing realistic driver reactions require natural, unanticipated encounters with wildlife, which is time and resource intensive. We still know relatively little about how driver behave during wildlife-vehicle encounters, particularly how different headlights impact how well drivers see animals and what evasive maneuvers drivers take during an encounter with an animal.”
These findings suggest that reducing animal-vehicle collisions will require a better understanding of both driver and animal behavior. While new technologies may help improve detection and response, their effectiveness will depend on how well they align with the way drivers perceive and react to risk.
Ultimately, reducing collisions will require more than a single solution, and progress will depend on combining insights from engineering, wildlife science, and human behavior. Each encounter on the road is shaped by both the driver and the animal, and understanding that interaction is the first step to improving safety.
The full study, Evaluating causes of animal-vehicle collisions through the lens of driver behavior, was published in Accident Analysis and Prevention and authored by Carson J. Pakula, Olin E. Rhodes Jr., and Travis L. DeVault.
















