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Prioritizing Roadway Pavement Marking Maintenance Using Lane Keep Assist Sensor Data.

Justin A Mahlberg¹, Rahul Suryakant Sakhare¹, Howell Li¹

¹Joint Transportation Research Program, College of Engineering, Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA.

Sensors (Basel, Switzerland)

|September 28, 2021

Summary

This summary is machine-generated.

Lane keep assist (LKA) technology effectively classified pavement markings in Indiana, showing improved detection rates over time. This data aids infrastructure maintenance and automotive safety feature development.

Keywords:

ADAS LKA advanced driver assistance systems connected and autonomous vehicles lane detection lane keep assist pavement markings road maintenance

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Area of Science:

Road infrastructure assessment
Automotive engineering
Transportation safety

Background:

Pavement markings are crucial for road delineation and advanced driver-assistance systems (ADAS).
Marking degradation due to environmental factors and wear impacts visibility and safety.
Current maintenance relies on manual inspection or specialized vehicles.

Purpose of the Study:

To evaluate the efficacy of lane keep assist (LKA) systems in classifying pavement markings.
To assess changes in pavement marking detectability over time using LKA data.
To explore applications of LKA-based pavement marking data for infrastructure and automotive industries.

Main Methods:

A case study was conducted in Indiana, covering over 5000 miles of interstate roads.
Lane keep assist (LKA) systems were utilized to detect and classify pavement markings.
Longitudinal data from 2020 and 2021 were compared.

Main Results:

The percentage of lanes with both boundary lines detected by LKA increased significantly from 80.2% in 2020 to 92.3% in 2021.
This demonstrates the growing capability of LKA systems in identifying road markings.
The study provides quantifiable data on pavement marking performance.

Conclusions:

LKA technology offers a viable method for large-scale pavement marking assessment.
Improved pavement marking detection rates suggest advancements in marking materials or LKA algorithms.
Findings support the use of LKA data for infrastructure maintenance prioritization and informing automotive OEM safety standards.