Efficient and current roadway geometry data collection is critical to transportation agencies
in road planning, maintenance, design, and rehabilitation. Data collection methods are
divided into land-based and aerial-based. Land-based methods for extensive highway
networks are tedious, costly, pose safety risks. Therefore, there is the need for efficient, safe,
and economical data acquisition methodologies. The rise of computer vision and object
detection technologies have made automated extraction of roadway geometry features …

Efficient collection of roadway geometry data is crucial for effective transportation planning,
maintenance, and design. Current methods involve land-based techniques like field
inventory and aerial-based methods such as satellite imagery. However, land-based
approaches are labor-intensive and costly, prompting the need for more efficient
methodologies. Consequently, there exists a pressing need to develop more efficient
methodologies for acquiring this data promptly, safely, and economically. This study …