Creates the "Road Optimization and Assessment Data Road Pilot Program" using AI and ML for road condition assessment. Requires data collection via GPS, laser systems, and video imagery in Monongalia and Preston Counties. Aims for predictive road maintenance over three years.
Creates the "Road Optimization and Assessment Data Road Pilot Program" to study alternative methods for assessing and financing road maintenance.
Mandates the use of Machine Learning (ML) and Artificial Intelligence (AI) to evaluate road conditions in Monongalia and Preston Counties.
Requires the Commissioner of Highways to promulgate rules for legislative approval concerning data collection and road assessment.
Instructs the Division of Highways employees to drive all roads in the pilot counties for data capture.
Utilizes GPS, geotagged positioning, and laser measuring systems to assess road geometry and conditions.
Employs video documentation and reflectometer systems for comprehensive road condition analysis.
Requires biannual data capture and processing over three years to track road condition changes and provide predictive maintenance analysis.
This machine-generated summary is awaiting review by an AGORA editor. Use with caution.
Key facts
🏛️ This document has been enacted by the State of West Virginia.
For authoritative text and metadata, visit the official source.
📜 This document's name is West Virginia House Bill 3214.
AGORA also tracks this document under the name West Virginia H 3214 (Road Optimization Assessment Data Pilot Program).
Themes AI risks, applications, governance strategies, and other themes addressed in AGORA documents.
Thematic tags are in progress.
Full text
This is an unofficial copy. The document has been
archived and reformatted in plaintext for AGORA. Footnotes, tables, and
similar material may be omitted. For the official text, visit the original source.
A BILL to amend the Code of West Virginia, 1931, as amended, by adding thereto a new section, designated §17-2A-25, relating to creation of the "Road Optimization and Assessment Data Road Pilot Program"; legislative findings and purpose; Commissioner of Highways to promulgate rules; and specifics to be contained in rules to determine how best to maintain roads and highways.
Be it enacted by the Legislature of West Virginia:
Creates the "Road Optimization and Assessment Data Road Pilot Program" to improve road maintenance strategies.
Creates the "Road Optimization and Assessment Data Road Pilot Program" to improve road maintenance strategies.
ARTICLE 2A. WEST VIRGINIA COMMISSIONER OF HIGHWAYS.
§17-2A-25. Road optimization and assessment data road pilot program; legislative findings and purposes.
(a) The Legislature hereby finds and declares that:
(1) Properly maintained roads and highways are important to the economic and industrial growth and development and well-being of the state and to the health, education, welfare, and prosperity of its citizens;
(2) Roads and highways of the state that are not well maintained because of potholes, patching, cracking, road shoulder issues, canopy brush, and drainage issues, do not contribute to the health, education, welfare, and prosperity of its citizens of this state;
(3) Data has been collected from the West Virginia Division of Highways containing an overall assessment and evaluation of the issues stated in subdivision of this section;
Declares the importance of well-maintained roads for West Virginia's economic growth and citizens' prosperity.
Declares the importance of well-maintained roads for West Virginia's economic growth and citizens' prosperity.
(4) The purpose of this section is to create a pilot program to study alternative methods of assessing the conditions of the roads and highways and methods of financing road and highway maintenance with respect to the issues stated in this section.
(b) The Legislature declares that a pilot program designated the "Road Optimization and Assessment Data Road Pilot Program" is hereby created.
(c) The Commissioner of Highways shall promulgate rules for legislative approval in accordance with §29A-3-1 et seq. of this code concerning the collection of data and the overall assessment of the conditions of the roads and highways of the state and the repairs and maintenance required to develop the pilot program. The rules shall also include that the pilot program:
(1) Use Machine Learning (ML) and Artificial Intelligence (AI) to assess the roads.
(2) Have a combination of urban and rural roads, using Monongalia and Preston Counties as a test bed.
(3) Use existing assessments in the pilot counties to begin to teach the program.
(4) Require the Division of Highways to have employees drive all of the roads in Monongalia and Preston Counties to capture the data.
(5) Use of GPS positioning and Geotagged positioning including high accuracy precision GPS to indicate road geometry and curvature.
Creates a pilot program to use AI for assessing road conditions and financing maintenance.
Creates a pilot program to use AI for assessing road conditions and financing maintenance.
(6) Use Laser measuring systems (including video) that are capable of longitudinal profiling, identifying and measuring cracks, pavement distress, including potholes, patching, cracking, road shoulder issues, canopy brush, and drainage issues.
(7) Use videos of the roads allowing pavement distress for imagery as well as canopy brush, drainage documentation and the use of a Reflectometer system to check the reflectivity of painted lines.
(8) Require post data capture processing to create a baseline for road condition assessment based on Division of Highways standards and the ASTM D6433-11 Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys.
(9) Require that the pilot program data capturing and processing twice per year (spring and fall) for three years. The data shall also compare the changes in road conditions such as deterioration of roads from previous condition, average daily traffic, heavy truck traffic if information is available.
(10) Require that ultimately the data gathered be used to render a predictive analysis of roads and highways that results in preventive maintenance for the roads and highways, rather than reactive maintenance.
Uses laser systems for profiling and distress measurement. Requires processing for baseline assessment and predictive analysis.
Uses laser systems for profiling and distress measurement. Requires processing for baseline assessment and predictive analysis.