TY  - JOUR
PY  - 2023//
TI  - Extracting highway cross slopes from airborne and mobile LiDAR point clouds
JO  - Transportation research record
A1  - Shams, Alireza
A1  - Sarasua, Wayne A.
A1  - Russell, Brook T.
A1  - Davis, William J.
A1  - Post, Christopher
A1  - Rastiveis, Heidar
A1  - Famili, Afshin
A1  - Cassule, Leo
SP  - 372
EP  - 384
VL  - 2677
IS  - 2
N2  - Adequate water pavement surface drainage on highways is crucial in minimizing the potential of hydroplaning. Highway cross slope has a significant effect of draining water laterally from the pavement surface. Currently, field surveying techniques and other manual measurement methods are used to collect cross slope data on a limited basis in most states, despite these methods being labor intensive and exposing personnel to traffic. Furthermore, field surveying techniques cannot provide continuous data and can only be conducted at sample-based locations. This study conducted a technical evaluation of the effectiveness of airborne LiDAR (light detection and ranging) scanning and mobile terrestrial LiDAR scanning systems in measuring pavement cross slopes. Cross slope data were extracted from the LiDAR point cloud at five selected test sections using two different methods: (i) end-to-end method using elevations only from the pavement edge lines to generate the cross slope; and (ii) 0.2?ft interval point extraction along the cross-section and using a fitted linear regression line as the basis for the cross slope. Cross slopes were also measured at test section locations using conventional surveying methods and compared with LiDAR-extracted cross slopes. <br><br>RESULTS demonstrate that LiDAR methods are reliable for collecting accurate pavement cross slopes and should be considered for the purpose of cross slope verification on a braod scale such as statewide to address cross slope and pavement surface drainage issues proactively.<p />  <p>Language: en</p>
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.1177/03611981221106482
ID  - ref1
ER  -