News
KSU Researchers to Study Traffic Congestion with AI
Focusing on driverless cars, lower road congestion and smaller environmental impacts, a group of Kennesaw State University researchers will be approaching a new traffic study with the help of artificial intelligence...
Kennesaw State's FUTRA Lab Tackles Traffic Congestion and Emissions with AI Solutions
Much like ants working together in a colony, Kennesaw State University researchers envision a future where driverless cars coordinate seamlessly with one another to enhance traffic flow, reduce congestion, and minimize emissions...
Artificial Intelligence for Planning Transportation and Energy Infrastructure in the Era of Electric Vehicles
As electric vehicles (EVs) gain popularity due to technological advancements, lower operating costs, and environmental benefits, urban planners must navigate new challenges in transportation and energy demand. The growing number of EVs necessitates expanded charging infrastructure, placing additional strain on the power grid. Simultaneously, shifts in travel behavior due to EV adoption can lead to increased congestion, potentially exacerbating emissions from fuel-based vehicles delayed in traffic. To address these emerging complexities, the Atlanta Energy and Emission Modeling and Analysis Tool (AEEMAT) is being developed through a collaboration between Futra Lab at Kennesaw State University and the Atlanta Regional Commission (ARC)...
