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Article

Measuring Roadway Lane Widths Using Connected Vehicle Sensor Data

Joint Transportation Research Program, Purdue University, West Lafayette, IN 47907, USA
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Academic Editors: Ondrej Stopka, Marek Jaśkiewicz and Milos Poliak
Sensors 2022, 22(19), 7187; https://doi.org/10.3390/s22197187
Received: 8 August 2022 / Revised: 6 September 2022 / Accepted: 12 September 2022 / Published: 22 September 2022
(This article belongs to the Special Issue Sensors and Systems for Automotive and Road Safety)
The United States has over three trillion vehicle miles of travel annually on over four million miles of public roadways, which require regular maintenance. To maintain and improve these facilities, agencies often temporarily close lanes, reconfigure lane geometry, or completely close the road depending on the scope of the construction project. Lane widths of less than 11 feet in construction zones can impact highway capacity and crash rates. Crash data can be used to identify locations where the road geometry could be improved. However, this is a manual process that does not scale well. This paper describes findings for using data from onboard sensors in production vehicles for measuring lane widths. Over 200 miles of roadway on US-52, US-41, and I-65 in Indiana were measured using vehicle sensor data and compared with mobile LiDAR point clouds as ground truth and had a root mean square error of approximately 0.24 feet. The novelty of these results is that vehicle sensors can identify when work zones use lane widths substantially narrower than the 11 foot standard at a network level and can be used to aid in the inspection and verification of construction specification conformity. This information would contribute to the construction inspection performed by agencies in a safer, more efficient way. View Full-Text
Keywords: lane width; road maintenance; advanced driver assistance systems; ADAS; connected and autonomous vehicles; construction; camera detection lane width; road maintenance; advanced driver assistance systems; ADAS; connected and autonomous vehicles; construction; camera detection
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MDPI and ACS Style

Mahlberg, J.A.; Li, H.; Cheng, Y.-T.; Habib, A.; Bullock, D.M. Measuring Roadway Lane Widths Using Connected Vehicle Sensor Data. Sensors 2022, 22, 7187. https://doi.org/10.3390/s22197187

AMA Style

Mahlberg JA, Li H, Cheng Y-T, Habib A, Bullock DM. Measuring Roadway Lane Widths Using Connected Vehicle Sensor Data. Sensors. 2022; 22(19):7187. https://doi.org/10.3390/s22197187

Chicago/Turabian Style

Mahlberg, Justin A., Howell Li, Yi-Ting Cheng, Ayman Habib, and Darcy M. Bullock. 2022. "Measuring Roadway Lane Widths Using Connected Vehicle Sensor Data" Sensors 22, no. 19: 7187. https://doi.org/10.3390/s22197187

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