Abstract:
Traffic signal system is a critical component of urban transportation operations. Advancements in emerging technologies such as connected and automated vehicles (CAVs), V2X communication, and machine learning and their integration with conventional traffic signal systems, bring significant benefits in terms of improving mobility but at the same time open a door for cyber attacks. In this talk, I will present our recent research on the cybersecurity of traffic signal systems including threat modeling, impact analysis, and mitigation strategies.

Bio:
Dr. Yiheng Feng is an Assistant Professor at Lyles School of Civil and Construction Engineering, Purdue University. His research areas include connected and automated vehicles (CAVs) and smart transportation infrastructure, with a focus on cooperative driving automation and transportation system cybersecurity. His work appeared in top transportation journals and computer science security conferences. He has served as PI and Co-PI in many research projects funded by NSF, USDOT, USDOE, and industry companies. He is a member of the Traffic Signal Systems Committee (ACP25) at the Transportation Research Board (TRB) and co-chair of the Simulation Subcommittee. He is a recipient of the NSF CAREER award and several best paper and dissertation awards from multiple organizations.