01627668

Component

Highway assets, including traffic signs and signals, light poles, guardrails, culverts, are essential components of transportation networks. They guide, warn, and protect drivers and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date information about the location and condition of highway features. Different techniques have been employed to collect highway inventory data. These techniques range from the simplest manual inventory method to methods that involve advanced technology, e.g., light detection and ranging (LiDAR). The focus of this paper is to analyze the capability and strengths of airborne LiDAR in highway inventory data collection. A field experiment was conducted to collect airborne LiDAR data, and an ArcGIS-based algorithm was proposed to process the data. The results demonstrate the effectiveness of our proposed algorithm as well as the feasibility and high efficiency of airborne LiDAR for highway inventory data collection.

This paper was sponsored by TRB committee ABC40 Standing Committee on Transportation Asset Management.

01618707

17-04058

English

15p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Aerial reconnaissance; Asset management; Data collection; Highways; Inventory; Laser radar

ArcGIS

Data and Information Technology; Highways

Transportation Research Board Annual Meeting 2017 Paper #17-04058

TRIS, TRB, ATRI

Dec 8 2016 11:33AM