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Penn State Pavement Asset Management

University Park and Commonwealth Campuses, PA

Client

The Pennsylvania State University

Services

  • Survey

  • LiDAR Scanning

  • GIS

  • Drone Imagery

  • AI Processing

  • Pavement Design

  • Repair Prioritization

Stahl Sheaffer, in partnership with F2S, has supported The Pennsylvania State University in transforming its pavement management approach from reactive maintenance to a mature, performance-based program that actively guides planning, budgeting, and execution across multiple campus systems.

The program was implemented across Penn State’s entire statewide system of campuses and operational facilities, originally encompassing 23 sites. As the University has consolidated operations, the program now actively supports 14 operating campuses, encompassing over 1,100 individual assets and approximately 2.5 million square yards of pavement. What began as a broad implementation effort has evolved into a refined, multi-network strategy, where pavement systems are actively managed based on risk, function, and long-term performance objectives.


At the core of the program is a GIS-based platform that serves as a single source of truth, integrating condition data, project history, and planned work into a unified system. This enables stakeholders across Penn State to coordinate projects, align budgets, and efficiently schedule construction activities across campuses and functional groups.


The program has progressed beyond initial implementation into steady-state management within key networks, including the Harrisburg campus and Transportation Services (TRS). In these areas, major risks have been mitigated and the focus has shifted toward sustaining asset condition through proactive, planned maintenance strategies rather than reactive repair.


This shift has allowed Penn State to move from managing problems to managing performance.


To support this scale, Stahl Sheaffer has deployed a hybrid data collection approach using mobile LiDAR, drones, and high-resolution imagery, paired with AI-assisted distress identification. This system enables rapid collection, processing, and validation of pavement data across large and geographically distributed networks.


At Penn State, the program is structured to map and inspect approximately 2.5 million square yards of pavement across 14 campuses within a six-week period, with all data processed and analyzed in time to support same-year planning and procurement. This approach allows for the evaluation of hundreds of thousands of pavement distresses, translating them into prioritized, construction-ready scopes within a single operating cycle. The result is a compressed decision-to-construction timeline—where data collection, analysis, budgeting, and bid-ready plans are delivered in time to take action within the same fiscal year.


Beyond implementation, Stahl Sheaffer provides ongoing program management and executive-level reporting, delivering clear, defensible metrics on pavement condition, risk exposure, and budget performance. These executive summaries enable leadership to track outcomes, justify funding decisions, and maintain control over long-term asset performance across the system.


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