The vendor required to provide pavement management system (PMS) supports strategic planning and informed decision-making for highway infrastructure.
- Requirements
a. Pavement management system and data capabilities requirements:
1. System requirements, security and user access control
• Cloud-based server and operation environment
• Utilize the metric measurement system
• Functions for adding and assigning user classification
• System access monitoring and logging
• User settings
2. Highway network definition and update
• Batch-loading update for different highway types, divided and undivided highways
• Interactive map display (ArcGIS).
3. Highway data browse, plotting and statistics
• Highway data browse and edit
• Plotting highway data vs LRS for user defined start or end points
• Pavement structure layer plot vs LRS, and transverse cross-section plot
• Statistical summaries showing record counts, average/max/min values, standard deviation, and total length.
• Import and export (extraction) functions.
4. Code table setup and modification
• Location referencing components
• Jurisdiction and administrative attributes
• Lane label
• Lane distribution factor
• Traffic class
• Environment
• Pavement type
• Construction activity and material
5. Inventory attribute management.
• Administrative data
• Jurisdiction data
• Landmark data (bridge file number and length, railway crossing, etc.)
• Environment data (environment zone, terrain)
• Geometry data
• Shoulder data
• Traffic history data
• Construction and maintenance as-built data (data year, pavement type, treatment type, layer, material, thickness, width, binder type, subgrade type, contract number, costs)
• GPS coordinate (latitude, longitude, elevation)
• Programmed work (location, year, treatment, work program id).
6. Condition assessment and updates
• Store detailed pavement condition assessment data imported from standard file formats such as excel, access, and csv, such as:
o Roughness data
o Distress data
o Deflection data with FWD analysis
o Friction data
o Analysis of the overall pavement quality index (PQI)
o Pavement image.
o QA tools with log files for anomalies
• The system must be customizable to accept department-specific data configurations regarding pavement as-built, traffic, roughness, distress and deflection, etc.
b. Analysis and treatment planning:
1. Pavement performance class and prediction models
• Performance index setup, roughness and rut, distress index using deduction values and user defined weighting factors, user defined roughness/distress/structural adequacy index prediction models, overall index model, performance class definition, prediction model plots.
• Tools for predicting individual distress for pavement sections.
2. Pavement maintenance analysis
• Setup and update treatment unit cost by jurisdiction
• Setup maintenance hierarchy, decision tree and activity priority matrix, maintenance cost and budget analysis.
3. Dynamic segmentation and creation of project limits, stored in data views
• Create pavement sections using dynamic segmentation for selected attributes
• Define pavement sections using overrides
• Allow import and export of historical section construction, maintenance and traffic volume data
• Allow import and export of historical section condition data with predicted future performance in roughness, distress, structural adequacy and overall performance indices.
• Statistical summaries showing record counts, average/max/min values, standard deviation, and total length.
• Plot historical condition data and predicted future performance trends for individual pavement sections.
4. Network level pavement rehabilitation needs analysis
• Setup and update treatment unit cost by jurisdiction hierarchies
• Setup and update rehabilitation need index trigger levels by functional class or by AADT
• Setup rehabilitation decision tree, analysis period, inflation and discount rates
• Rehabilitation analysis for list of treatments with cost and cost benefit in various years in analysis period
• Allow inclusion of programmed work and treatment overrides.
5. Pavement rehabilitation optimization analysis.
• Setup optimization constraint in performance target, budget or both
• Setup and update treatment unit cost by jurisdiction hierarchies
• Provide the marginal cost effectiveness (MCE) method (and optionally, other commonly used methods, such as linear programming) for optimization analysis
• Produce work programs corresponding to given budget stream
• Plot showing network performance trends due to different budget levels (what-if)
• Options for setting up asset valuation models and displays showing impact of budget levels
• View programmed work on map display.
6. Feedback analysis for index prediction models.
• Create and modify and update pavement performance index prediction models
• Create/modify/update individual pavement distress prediction models
• Segment distress data and prediction model plot.
- Questions/Inquires Deadline: January 16, 2026
