Success Story: City of Gloucester, MA

In the summer of 2022, Cyvl partnered with the esteemed civil engineering firm Environmental Partners to undertake a significant project in Gloucester, MA.

This collaborative effort aimed to perform comprehensive existing conditions assessments for 167 centerline miles of roadway in the city. The project’s scope included utilizing Cyvl’s cutting-edge technology and Environmental Partners’ expertise to deliver accurate and detailed data that would inform critical infrastructure decisions.

Stats:

Centerline miles:

  • 167

Services Offered:

  • Pavement Management
  • 360 street view
  • 3D LiDAR Pointcloud mapping

Turnaround time:

  • 4 weeks

Cost savings:

  • Up to 60% vs traditional methods

Challenge:

Gloucester, MA, needed a comprehensive assessment solution to prioritize roadway repairs and optimize resource allocation across 167 miles of road. Limited resources necessitated a data-driven approach to identify and address infrastructure issues effectively.

Solution:

Cyvl and Environmental Partners utilized advanced pavement management technology to address the challenges faced in Gloucester. LiDAR sensors and AI algorithms were employed to perform detailed assessments of roadway conditions, including potholes, cracks, and wear and tear.

Implementation:

The project involved comprehensive data collection and analysis, with existing conditions information coded to a customized road centerline file. High-resolution photographs were captured every 10 feet along the roadway network and linked to a CSV file and shapefile for visual documentation.

Results:

1) Detailed Deliverables:

  • Shapefile with road ratings and custom segmentation for precise identification of areas needing attention
  • Shapefile with point features indicating exact locations of roadway photographs for visual references
  • CSV file with hyperlinks to associated photos for further analysis

2) Informed Decision-Making:

  • Comprehensive data and visual documentation enabled efficient prioritization of repairs and resource allocation
  • Clear understanding of road conditions facilitated the development of strategic plans and targeted maintenance efforts for improved safety and functionality

3) Time and Cost Savings:

  • Cyvl’s technology reduced time and costs compared to manual assessments
  • Efficient data collection and AI analysis allowed quick identification of infrastructure issues
  • Timely decision-making was enabled, saving resources and maximizing efficiency.

Conclusion:

The collaboration between Cyvl and Environmental Partners in Gloucester, MA, showcased the power of advanced technology and civil engineering expertise. Conrad Leger, Environmental Partner’s Director of Asset Management, states, “We’re thrilled to have partnered with Cyvl on our Gloucester project. Their advanced technology and services have greatly enhanced our roadway management efforts, improving safety and functionality. We’re excited to continue working together towards smarter infrastructure solutions.”

Click here to learn more about partnering with Cyvl.

 

Success Story: BETA Group

BETA Group, Inc. (BETA) s a full-service civil engineering and planning firm providing clients with a wide range of engineering services, including GIS & asset management, stormwater management, transportation, water/wastewater engineering, and landscape architecture.

Cyvl.ai is a civil engineering technology company that utilizes vehicle-mounted 3D mapping LiDAR sensors and proprietary AI processing algorithms to help communities better manage their physical infrastructure assets.

Challenge

BETA has been trying to find an efficient solution for manual infrastructure inspections. Tito Sanchez, a project manager for the GIS and Asset Management team, believes that BETA can achieve this through leveraging emerging technologies.

Tito explained, “Large municipalities could take up to three weeks, sometimes longer, to conduct manual inspections. Smaller municipalities, at a minimum, would be a week and a half to two weeks.”

These manual inspections:

  • Were too time-consuming
  • Required significant monetary investment
  • Impacted their ability to serve multiple communities

Solution

In 2021, BETA and Cyvl’s CEO and Co-founder, Daniel Pelaez, discussed the positive impact of affordable LiDAR and Artificial Intelligence on the Infrastructure Asset Management industry.

Cyvl’s “cutting-edge technology” appealed to Tito; he says, “I’m all about LiDAR and trying to figure out how we can utilize these technologies for the municipalities here in New England.”

Tito realized the many advantages of Cyvl’s technology, which could:

  • Significantly reduce the time required to collect data
  • Deliver quality results faster and more reliably than a manual inspection
  • Produce objective, data-driven results, independent of the user
  • Save time and company resources

Results

Since partnering with Cyvl, BETA has seen tremendous improvements in the efficiency of data collection. Manual inspection processes typically took weeks to complete before implementing Cyvl’s technology.

“Now, we’re able to complete inspections in as little as three days with Cyvl’s technology,” Tito explains.

In just one season, BETA and Cyvl have:

  • Completed 30+ town-/city-wide projects in the last nine months
  • Assessed over 4,000 centerline miles of  infrastructure in New England

Cyvl’s proprietary algorithms automatically inventory and assess the condition of assets from the LiDAR and camera data and turn them into actionable reports. These results are then published on an intuitive web-based platform, which can be downloaded and directly imported into standard civil engineering 3rd-party software like:

  • ArcGIS
  • Cartegraph
  • Cityworks
  • Civil 3D

With this processed data, BETA helps municipalities prioritize future roadway repairs and plan infrastructure asset management programs more effectively.

For example, in April 2022, Cyvl and BETA scanned the City of Haverhill, Massachusetts’ entire roadway network. Over a few days, they covered 230 centerline miles made up of 2,218 individual pavement segments. Cyvl’s machine learning algorithms then processed and categorized the gathered data. This allowed BETA to pinpoint the location and condition of essential assets and create a five-year pavement management plan for the city.

Success Story: BETA Group
BETA completed a 400+ centerline mile pavement management project quickly with Cyvl’s technology

Moving Forward

As more capabilities emerge for BETA and Cyvl’s partnership, Tito believes they will continue to move toward a more asset-wide field data collection partnership. BETA looks to leverage the LiDAR data in the future to expand asset inventories within the roadway corridor.

Click here to learn more about partnering with Cyvl.