Carlsbad Planet bids #RFP27-4182TRAN

Citywide Pavement Condition Assessment and Database Update for Carlsbad, CA

The City of Carlsbad's Transportation Engineering department is seeking qualified firms to conduct a comprehensive citywide pavement condition assessment and update its pavement management database. - Government Buyer: - City of Carlsbad, Transportation Engineering, Public Works Contracts Administration - OEMs and Software Platforms: - OpenGov (pavement management software) - Lucity (legacy pavement management software) - ArcGIS (GIS integration platform) - Products/Services Requested: - Citywide pavement condition assessment covering approximately 351 centerline miles, including all street types - Update and delivery of pavement management database with PCI and distress data for about 3,800 pavement segments - Pavement management scenario modeling using OpenGov or Lucity software, including funding projections and rehabilitation plans - Draft and final summary reports detailing findings and recommendations - Optional automated traffic-sign retro-reflectivity study for approximately 19,400 signs, including GIS integration and a 5-year replacement plan - Unique/Notable Requirements: - Use of ASTM D6433 methods for pavement assessment - Integration with OpenGov, Lucity, and ArcGIS software - Compliance with prevailing wage laws - Use of Procore software for project management - Qualified staff and sufficient road-testing equipment - Efficient project completion and robust scenario modeling

Description

The City of Carlsbad is requesting proposals from qualified firms to perform a citywide pavement condition assessment and update the pavement management database. The project involves approximately 351 centerline miles of pavement, including most Prime and Major Arterial streets. The City currently uses OpenGov pavement management software integrated with ArcGIS and seeks consultants experienced with these systems as well as Lucity software. Additionally, the City requests optional pricing for an automated traffic-sign retro-reflectivity study covering approximately 19,400 signs.

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