01555258

Component

Knowledge of cross slope values along a road alignment can help improve the safety of existing roadway designs, identify areas with drainage problems, help with the identification of oversize and overweight vehicle routes, and provide better crash reconstruction information, among others. However, detailed cross slope measurements of existing roadways are not values that are readily available for transportation agencies. However, transportation agencies continue to increase the use of LiDAR data as part of their day-to-day operations. As a result, agencies have continuously-increasing rich and powerful datasets that too often go unused. LiDAR data can help bridge the gap between the information that is desirable about existing roadways and what is feasible to obtain with traditional survey methods. Existing work has already shown the feasibility of using LiDAR datasets for cross slope computation and other applications although most of the work have focused on the scientific and mathematical nature of the process. This paper focuses on providing end-users with a methodology that can be followed to obtain cross slope information from existing LiDAR datasets through the use of commonly available engineering software. The methodology presented will allow transportation agencies to leverage the power of existing LiDAR datasets therefore enabling a more efficient use of existing resources and provide a greater return on investment of existing data assets.

This paper was sponsored by TRB committee AFB80 Geospatial Data Acquisition Technologies in Design and Construction.

01550057

15-2320

English

15p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References

Data files; Laser radar; Methodology; Visualization

Cross slope

Data and Information Technology; Highways; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-2320

TRIS, TRB, ATRI

Dec 30 2014 12:49PM