Case Studies

iPAVe: Connecticut Department of Transportation

Connecticut, USA.

2,300 miles of data collected. Millions of $ saved.

Learn more about the ARRB Systems solutions utilised in this case study:

3701.49 kms

Along with the University of Connecticut (UCONN), ConnDOT contracted ARRB Systems to perform a comprehensive pavement inventory of more than 3701.49 kms (2,300 miles) of roads and highways throughout the state.

Overview

Connecticut Department of Transportation (ConnDOT) develops, operates, and maintains the state’s highway, transit, port, and waterway system.

Connecticut Case study

The Challenge

ConnDOT wanted to collect all roadway condition data types in one pass and was frustrated in its search to find one piece of equipment able to perform this feat efficiently and effectively. That was until they heard about ARRB Systems and the iPAVe.

Along with the University of Connecticut (UCONN), ConnDOT contracted ARRB Systems to perform a comprehensive pavement inventory of more than 2,300 miles of roads and highways throughout the state.

iPAVe Arrb Systems

Millions back in the pocket

iPAVe Technology

To address these challenges, ConnDOT partnered with ARRB Systems and implemented the iPAVe technology. This advanced system enables the collection of multiple data types, including pavement condition assessments, roughness measurements, and surface characteristics, in a single pass at highway speeds.

Key Benefits:

  • Time and Cost Savings: iPAVe significantly reduces data collection time and costs compared to traditional methods.
  • Enhanced Data Quality: The system provides accurate and detailed data, enabling a deeper understanding of road conditions.
  • Improved Decision-Making: By analyzing the collected data, ConnDOT can make informed decisions about maintenance, rehabilitation, and future investments.
  • Enhanced Safety: The efficient collection of data helps identify potential safety hazards and prioritize maintenance efforts.

By adopting iPAVe, ConnDOT has streamlined its operations, improved road safety, and optimized resource allocation. This case study demonstrates the power of technology in transforming road management practices.