Town of Oyster Bay, NY

Located in Oyster Bay, New York, with a population of 301,326 residents, this groundbreaking project covered an extensive area of 733 centerline miles. The project aimed to leverage technology to provide valuable insights into the condition of Oyster Bay's pavements.

Challenge

The LiRo Group faced the challenge of assessing a vast network of roads and pavements in Oyster Bay in a timely and efficient manner. With 733 centerline miles to evaluate, traditional assessment methods—often slow, labor-intensive, and costly—would have posed significant logistical hurdles.

The scale of the project made it difficult to gather consistent, high-quality data quickly enough to support proactive maintenance planning. However, having accurate and up-to-date pavement condition data was critical for optimizing repair strategies, budgeting, and long-term infrastructure sustainability. To meet these demands, LiRo needed a solution that could streamline data collection while maintaining precision and reliability.

Solution

Cyvl's advanced technology played a pivotal role in addressing this challenge. The project involved deploying four Cyvl team members, each equipped with a Cyvl sensor and vehicle, enabling simultaneous scanning of the 733 centerline miles.

To maximize efficiency, Cyvl and The LiRo Group coordinated route planning, ensuring full coverage with minimal overlap. Cyvl’s AI-powered processing then analyzed LiDAR data, generating precise pavement scores and geospatial insights. This automated approach eliminated subjectivity, providing The LiRo Group with accurate, actionable data for maintenance planning.

Implementation

To ensure seamless execution, Cyvl and The LiRo Group collaborated on a structured approach:

• Project Planning & Coordination: Cyvl worked closely with LiRo to define key objectives, optimize data collection routes, and schedule the scanning process to minimize disruptions.
• Simultaneous Data Capture: Four Cyvl-equipped vehicles operated concurrently, maximizing efficiency and covering 733 centerline miles over a single weekend.
• Advanced LiDAR & AI Processing: After field data collection, Cyvl utilized its proprietary AI-driven analysis to assess pavement conditions, ensuring accuracy and actionable insights.
• Quality Assurance & Delivery: The processed data underwent a 35-day review period to verify precision before final reporting to The LiRo Group.

Results

1. Efficient Data Collection

• The simultaneous deployment of four Cyvl sensors enabled the efficient scanning of 733 centerline miles in Oyster Bay, significantly reducing the time and resources required for data collection.

2. Detailed Pavement Assessment:

• The advanced methodologies used in data collection reduced bias, produced verifiable results, and ensured consistency for future comparisons.

3. Speed and Accuracy:

• The project was completed in a long weekend with 120 hours of scanning, showcasing the speed and efficiency of Cyvl's technology.

4. Data Processing Precision:

• During the 35-day data processing phase, Cyvl ensured the accuracy and reliability of the pavement assessment data.

Impact

The LiRo Group gained a faster, data-driven approach to pavement assessment, allowing for more informed maintenance planning across Oyster Bay. The high-resolution insights enabled strategic decision-making, optimizing resource allocation for roadway improvements.

By leveraging Cyvl’s AI-powered technology, the project significantly reduced the time, cost, and labor required for traditional assessments. This efficient, repeatable model sets a new standard for infrastructure management, demonstrating the value of advanced data collection in municipal planning.

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