Peters Township, Pennsylvania
Peters Township used a time-consuming, visual pavement condition survey process and needed to optimize their maintenance strategy,
Maintenance strategy needed to be
Slow Process: For over ten years, Peters Township engineers would visually record Pavement Condition Index (PCI) ratings every three years. The survey process, including driving the network and entering data from survey sheets, would take up to two months.
Room to Optimize: A portion of Peters Townships maintenance strategy revolves around resurfacing approximately five miles of roadway annually. Every three years, based on the PCI results, they identified the worst 15-20 miles of roadway as the starting point for determining their resurfacing plans. No preventative maintenance was considered on any of these roads, as they were generally over ten years old and beyond the point where preventative maintenance was beneficial.
Striving to increase efficiency, Peters Township officials adopted RoadBotics pavement assessment and management software. Through their RoadBotics subscription, Peters Township tackled their key challenges in the following ways:
Saving Time with Smartphone Collection: In 2020, Peters Township was able to receive their objective road assessment in less than 1 month. Their assessment was completed using RoadBotics smartphone apps, RoadSense & RoadNav, and then automatically uploaded and rated by RoadBotics’ artificial intelligence (AI) algorithm. Ratings were generated for every 10-foot section of road, and corresponding high-definition images (1080p) were accessible through the RoadWay platform.
Using RoadWay to Identify the Worst Roads: Peters Township was able to objectively determine and confirm the worst 25 miles of roads using RoadBotics 1 – 5 rating system, where 1 is dark green, representing the best roads, and 5 is red, noting the worst. After reviewing and sub-ranking those initial 25 miles, they used the assessment to create a new three-year plan. The assessment provided objective feedback on their decisions, and the online platform allowed them to perform some aspects of their planning remotely.
Data was collected of the township’s entire road network in two weeks, and it took another few weeks for RoadBotics’ artificial intelligence (AI) to assess the collected data. In one month, Ryan Fonzi received a shapefile of the assessment. “RoadBotics gave us roughly 5 months that freed me up for other projects. Our engineer was spending less time out in the field and only looking at the refined list of roads in the worst condition that we generated from RoadBotics data. So, it was huge for time-saving and cost-saving as far as labor costs,” said Ryan.
Through the imagery on RoadWay, they were able to see the positive impact their maintenance efforts have had on their road network.