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Measuring Roadway Lane Widths Using Connected Vehicle Sensor Data.

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Summary
This summary is machine-generated.

Vehicle sensors can measure lane widths in construction zones, improving road safety and maintenance. This technology helps verify construction standards efficiently, ensuring compliance and reducing risks on highways.

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Area of Science:

  • Civil Engineering
  • Transportation Engineering
  • Geomatics Engineering

Background:

  • Millions of miles of U.S. roadways require continuous maintenance, often involving temporary lane closures and geometry alterations.
  • Narrow lane widths (less than 11 feet) in construction zones can negatively affect highway capacity and increase crash rates.
  • Manual analysis of crash data to identify road geometry issues is labor-intensive and not scalable for network-level assessments.

Purpose of the Study:

  • To evaluate the efficacy of using onboard vehicle sensor data for measuring lane widths in real-world conditions.
  • To assess the potential of this technology for network-level identification of non-compliant construction zone lane widths.
  • To provide a safer and more efficient method for construction inspection and verification.

Main Methods:

  • Utilized data from onboard sensors in production vehicles to measure lane widths along selected roadways (US-52, US-41, I-65 in Indiana).
  • Collected approximately 200 miles of lane width data using vehicle sensors.
  • Validated the sensor-derived measurements against high-precision mobile LiDAR point clouds, serving as ground truth.

Main Results:

  • Vehicle sensor data achieved a root mean square error of approximately 0.24 feet when compared to mobile LiDAR ground truth.
  • The methodology successfully identified instances where construction zone lane widths deviated significantly from the 11-foot standard.
  • Demonstrated the capability to assess lane width conformity at a network level.

Conclusions:

  • Onboard vehicle sensors offer a viable and accurate method for measuring lane widths, crucial for infrastructure maintenance and safety.
  • This technology can automate the detection of non-compliant construction zone lane widths, enhancing the efficiency and safety of construction inspections.
  • The findings support the integration of vehicle sensor data into transportation agency workflows for improved oversight of construction projects.