Lazar Spasovic

Lazar Spasovic is a Professor in the Department of Civil and Environmental Engineering at the New Jersey Institute of Technology (NJIT), serving as Director of the Intelligent Transportation System Resource Center. His research focuses on transportation engineering, traffic management, and intelligent systems, with expertise in work zones, urban transit optimization, and traffic simulation modeling. He has led federally funded projects, including a 2018 study on automated truck platooning's impact on traffic flow.

Key research interests include crash severity analysis using machine learning, cost-reliability tradeoffs in public transit, and deployment of in-vehicle advisory systems. He has published extensively in peer-reviewed journals and contributed to interdisciplinary projects combining traffic engineering with data science. Media engagements include commentary on NJ Transit operational challenges and freight industry trends.

Notable grants include a USDOT-funded project (2018–2019) assessing environmental and performance impacts of automated vehicles. His work integrates computational methods (e.g., genetic algorithms) with real-world transportation infrastructure challenges.