Work Zone Worker Alert Systems via a VR-Based Human-in-the-Loop Simulation
This research addresses work zone safety hazards through human-in-the-loop Virtual Reality simulation to evaluate alert system effectiveness for worker protection, motivated by the tragic March 2023 Maryland incident that killed six workers. The study employs VR-based simulation where participants act as work zone flaggers to empirically assess how different alert modalities affect worker reaction times and safety compliance during hazardous events. The methodology adapts existing UC-win/Road driving simulation models from driver perspective to worker first-person viewpoint, incorporating repeatable errant vehicle scenarios for standardized stimulus delivery. A within-subjects experimental design exposes participants to five alert conditions including no alert control, visual warning with flashing beacon, audio alarm, haptic vibrating controller feedback, and combined multimodal alerts. Alert scenarios are paired with auditory, visual, and haptic distraction conditions to test robustness under realistic work environment challenges. Data collection includes pre-simulation demographic and safety attitude surveys, objective reaction time and compliance measurement during simulation, and post-simulation feedback on alert effectiveness and simulation realism. Statistical analysis using repeated measures ANOVA compares performance across scenarios, synthesizing quantitative results with qualitative survey feedback for comprehensive human factors understanding.
Language
- English
Project
- Status: Active
- Funding: $147,542.00
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Contract Numbers:
69A3552348303
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Sponsor Organizations:
Safety and Mobility Advancements Regional Transportation and Economics Research Center
Morgan State University
Baltimore, MD United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
1700 E. Coldspring Lane
Baltimore, Maryland United States 21251 -
Performing Organizations:
1700 E. Coldspring Lane
Baltimore, Maryland United States 21251 -
Principal Investigators:
Jeihani, Mansoureh
Chang, Daeyeol
- Start Date: 20250701
- Expected Completion Date: 20260630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Analysis of variance; Flaggers; Simulation; Statistical analysis; Virtual reality; Warning systems; Work zone safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01969001
- Record Type: Research project
- Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
- Contract Numbers: 69A3552348303
- Files: UTC, RIP
- Created Date: Oct 20 2025 4:15PM