City of Manchester, NH

The City of Manchester, NH, needed a cost-effective and data-driven approach to pavement management and urban asset inventory. Partnering with Kimley-Horn, Cyvl deployed advanced AI and LiDAR technology to assess 412.5 miles of roadway, providing detailed pavement scores and a robust asset catalog. Learn how this project is enhancing infrastructure planning and maintenance in Manchester.

Date
Mar 2025
Location
City of Manchester, NH
Service

Cyvl partnered with Kimley-Horn to assess 412.5 miles of roadways in Manchester, NH, using advanced sensor technology and data analysis. The project delivered detailed pavement scores and a comprehensive asset inventory, providing data-driven insights to optimize maintenance and infrastructure planning.

Challenge

The large size of Manchester’s road network posed a substantial challenge regarding data collection and analysis. The city required a cost-effective, detailed pavement condition assessment to inform maintenance decisions effectively. Additionally, a comprehensive inventory and geolocation of various urban assets were needed.

Solution

Cyvl and Kimley-Horn deployed three advanced sensor-equipped vehicles to efficiently capture high-resolution pavement and asset data across Manchester’s roadways. The approach included:

  • AI-Powered Pavement Assessment: Cyvl’s technology automatically detected and classified pavement distresses, generating detailed condition scores to guide maintenance decisions.
  • Comprehensive Asset Mapping: The system geolocated streetlights, trees, manholes, catch basins, and MUTCD signs, ensuring a complete right-of-way inventory.
  • High-Resolution Imaging & LiDAR Scanning: 2D and 360-degree imagery, combined with LiDAR scans, provided an accurate, up-to-date digital twin of the city’s infrastructure.
  • Seamless Platform Integration: Data was processed and visualized within Cyvl’s interactive platform, allowing city planners to easily explore pavement conditions and asset data.

Implementation

The implementation phase involved mounting Cyvl’s LiDAR and high-resolution imagery sensors on 3 vehicles that simultaneously drove around Manchester’s roadways for 3 days, covering 412.5 miles.

This method ensured the collection of high-quality data across the city, allowing for an in-depth analysis of pavement conditions and asset inventory.

Results

1. Detailed Pavement Scoring:

  • The pavement was assessed and PCI-based scores were provided on a scale of 1 to 100, with 1,416,026 individual distress details identified.

2. Extensive Asset Cataloging and Geolocation:

  • A total of 12,249 streetlights, 9,547 trees, 9,624 manholes, 9,268 catch basins, and 33,255 MUTCD signs were cataloged and geolocated.

3. Enhanced Data Visualization and Access:

  • Street view imagery integration enabled interactive analysis, making infrastructure data more accessible and actionable.

4. Optimized Maintenance and Budget Planning:

  • Detailed distress and asset data allow Manchester to prioritize repairs, optimize schedules, and allocate resources efficiently.

Impact

Through this project, Manchester now benefits from a data-driven approach to infrastructure management, allowing for more strategic maintenance planning, improved resource allocation, and enhanced urban asset oversight.

The collaboration between Cyvl and Kimley-Horn has set a new standard for pavement and asset management in New Hampshire’s largest city, ensuring smarter, more informed decision-making for years to come.

Click here to learn more about partnering with Cyvl.

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