Project Overview
Rationale
Work-zone flagging operations are critical for driver safety, but traditional human flagging can be inconsistent, difficult to notice, and risky for workers. This project evaluates multiple automated and enhanced flagging technologies using driving simulation, eye-tracking, physiological sensing, surveys, and field feedback to identify systems that improve driver attention, response, and safe stopping behavior.
Impact
- Reduce worker exposure to traffic hazards by supporting alternatives to traditional human flaggers in high-risk work-zone environments.
- Improve work-zone safety by identifying flagging technologies that help drivers detect stop conditions earlier and respond more safely.
- Support technology selection and deployment through a decision-making matrix that considers driver behavior, worker/operator feedback, and practical field implementation.
Publication List
Conference Proceedings
- Pooladvand, S., Pokharkar, H., Lee, K., & Hasanzadeh, S. (2023). Inhibitory control behavior of novice and experienced drivers during work zone intrusion: functional connectivity analysis using fNIRS. In Computing in Civil Engineering 2023.
Technical Report
- Hasanzadeh, S., Esmaeili, B., Lee, K., Pokharkar, H., Pooladvand, S., & Chang, W. C. (2024). “Implementation and Assessment of Highway Intrusion Technologies”. Purdue University & INDOT. Joint Transportation Research Program. DOI: 10.5703/1288284317727
Researcher
Kyeongsuk Lee
Hrishi Pokharkar
Collaborators
- Behzad Esmaeili, PhD, Lyles School of Civil and Construction Engineering, Purdue University
Funding Source
