The Pennsylvania Turnpike Commission sought a solution to monitor their snowplow and plow train activities in real-time during winter events. This capability was crucial for enhancing their road maintenance efforts, anticipating current and future roadway conditions, and effectively planning for potential traffic disruptions caused by adverse weather or incident-related backlogs. The solution utilizes AVL (Automatic Vehicle Location) technology and cloud-based processing to optimize snowplow cycle times. The project integrates spatial data, real-time tracking, and advanced analytics to assess and enhance the efficiency of snowplow operations. The project aims to minimize response times, improve route planning, and support the variable and dynamic nature of roadway management. Results demonstrate the potential for significant time savings and resource optimization in winter maintenance operations, contributing to more effective and timely snowplow services.
