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The issuing agency is seeking an AI-based, end-to-end pavement inspection and management solution to support the collection of pavement condition data, processing and analysis of recorded data, and visualization and management through a web-based, GIS-native enterprise asset management platform backed by a geospatial database. The scope includes all labor, materials, supplies, equipment, software, training, and professional services required to deliver a comprehensive GIS-based pavement condition assessment and management system.
The solution is intended to provide objective and repeatable pavement condition data along with an integrated software platform that supports pavement management, budgeting, prioritization, and decision-making. The selected vendor will be expected to deliver both the initial data collection effort and a long-term, user-accessible system that enables municipal staff to analyze roadway conditions, evaluate funding scenarios, and develop actionable maintenance and rehabilitation strategies.
Project requirements include confirmation of the quality of the agency-provided GIS road network for approximately 64 centerline miles. The vendor is also expected to use a combination of high-resolution mobile data collection and connected vehicle data to support both periodic condition assessments and continuous performance monitoring. In addition, the scope includes support for sidewalk GIS layer creation, distress assessment, rating, and software-based budgeting scenarios.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.