MIT SCM Symposium 2024

This capstone project presents a detailed profile of truck driver duty cycles and truck stop visits in the United States through the analysis of Electronic Logging Device (ELD) data. Addressing the gap in utilizing ELD-generated location data for broader analyses, this study evaluates drivers' unspent duty hours and stop durations at truck stops. Utilizing data from 1,261 long-haul drivers over 56 days, we employed Geospatial and Driver duty cycle analysis in Python to examine driver behaviors and truck stop patterns, revealing critical insights into duty cycle patterns and truck stop usage. Our findings indicate a high unspent duty hour per cycle, as evidenced by the analysis of over 36,000 duty cycles, highlighting that drivers spent an average of 9.9 hours out of the allocated 14 duty hours per shift, with considerable variability in work patterns. The stop durations at the truck stops vary depending on the purpose of the visit which was revealed in this project.