This talk will present how pavement-encoded electromagnetic (EM) strips can provide real-time lateral-offset updates that improve closed-loop automated vehicle tracking. The analysis focuses on lateral tracking accuracy, run-to-run repeatability, and vehicle-control response on tangent and curved roadway sections. A real-time framework has been developed to detect pavement-encoded EM strips and estimate lateral offset using an onboard magnetometer array. EM estimates were integrated with GPS-based lateral control through event-triggered source switching. Fifty field runs over 36 strip locations yielded 1,800 run-strip observations for lateral control performance analysis. A linear 10 mixed-effects model was derived that included localization condition, roadway section, and their interaction as fixed effects, with random intercepts for run and strip. Repeatability was assessed using across-run variability and normalized FastDTW distances between lateral-offset profiles.
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About the speakers:
Dr. Jeffery Roesler has been conducting research on a variety of transportation infrastructure topics for the past 25 years. His recent research interest involves passive material sensing for vehicle lateral positioning and construction work zone V2I communication, micro-scale urban heat island and cool surfaces, roller compacted concrete pavements, 3D concrete printing for 1-story structures, and non-contact ultrasonic sensing system for construction monitoring. He has authored/ co-authored more than 275 publications. He is a registered professional engineer in the California and active participant in TRB, ACI, and is Past President of the International Society of Concrete Pavements. Dr. Roesler teaches courses in transportation infrastructure, specifically pavement analysis and design, concrete materials, introduction to transportation engineering, geometric design of roads as well as a senior professional practice class and a first year project-based introduction to CEE course.

Dr. Talebpour is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. He has more than 12 years of experience in teaching, research, and consulting in vehicle automation, connected transportation system, traffic analysis, and traffic flow theory. He was leading Texas A&M’s team in SAE/GM AutoDrive Challenge (before joining UIUC), a four-year competition to develop a fully (level 4) autonomous vehicle among eight Universities. He is currently leading an FHWA-funded project focusing on trajectory data collection from CAV operations in highway and arterial environments, “Third Generation Simulation Data (TGSIM)”. He has been working on developing algorithms for vehicle safety and efficiency in a connected and automated driving environment and has developed simulation tools to simultaneously simulate wireless communications and drivers and automated vehicles.