Unlike traditional systems that rely on static timing plans, DALI Nexus uses artificial intelligence software “agents” to monitor real-time activity at intersections, exchange data across the network and optimize signal timing dynamically. DALI Nexus also provides real-time traffic insights and safety alerts to road users, including drivers, cyclists and pedestrians, through a mobile app. DALI Nexus reduced traffic delays at intersections using coordinated, or synchronized, timing by 25% to 30%. The UT Dallas research team has worked closely with the city’s Transportation and Mobility Department to integrate the DALI technology with the city’s existing infrastructure. Accolades is an occasional News Center feature that highlights recent accomplishments of The University of Texas at Dallas faculty, students and staff.