Agile Work Zone Management Based on Connected Vehicle Data

Abstract

Peak period lane closures can result in significant queueing on major interstates. Many state agencies thus have a lane closure policy in place based upon historical time of day and day of week traffic volumes. The COVID-19 pandemic resulted in a significant reduction in traffic volumes in Indiana during March-May 2020. In some periods, traffic volume reductions were over 35%. During this period, the Indiana Department of Transportation (INDOT) implemented an agile lane closure policy based upon observed volumes and monitored those exceptions using connected vehicle data. This paper reports on the analysis of 11 lane closure exceptions on 4 interstates across Indiana. Congestion comparisons were made for each exception for the same time period in 2020 and 2019. Even with the lane closures exceptions, the study found 10 of 11 sections actually had fewer mile-hours of congestion and the total mile-hours of congestion for all 11 sections reduced from 1281 mile-hours in 2019 to 244 mile-hours in 2020. Overall, crashes decreased from 125 in 2019 to 70 in 2020. Year-over-year comparisons for these exceptions demonstrated significant opportunities for agile work zone lane closure practices when coupled with close monitoring of crash and congestion measures derived from connected vehicle data.