Researchers at A&T State University, North Carolina, use artificial intelligence to help Prevents animal vehicles collisions. In the US, Up to 2 million crashes occur between vehicles and animals each year – It caused about 200 deaths, according to data from the US Department of Transportation. This study focuses primarily on rural North Carolina communities.
The core part of the project uses sensors to detect whether an animal is coming, and the warning is sent to a visual dashboard for those driving the simulated car. It was partially funded by a $15 million grant over five years from the US Department of Transportation.
Professor Ali Karimoddini, NC A&T, is a lead researcher. He said he discovered many barriers in rural areas when dealing with animal-vehicle collisions, such as agricultural vehicles.
“Agricultural vehicles that are slowing down traffic can create many different types of challenges,” Karimoddini said. “So, is even flooding correct? There's less digital infrastructure to warn drivers about flooding in certain rural communities.”
CR2C2 – North Carolina A&T State University Faculty of Electrical and Computer Engineering
This study is currently in its early stages. However, Karimoddini said they collected a lot of data.
“We gather information on how quickly a driver can respond under different circumstances, different weather conditions, or different lighting conditions, and what kind of weather,” he said. ”
Karimoddini also said he is gathering information on how drivers can pay attention to animals that push the brakes and cross the road. He moved on and said they wanted to select a rural North Carolina community for the pilot and do it nationwide.
