Virtual Learning

Implementation of Aerial LiDAR Technology to Update Highway Inventory (MPC 18-356)

• Mar 4, 2020
  Virtual Learning (desktop/laptop and mobile devices)

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Description

Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important 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. The focus of this presentation is to analyze the capability and strengths of an airborne data collection system in highway inventory data collection. A field experiment was conducted to collect both light detection and ranging (LiDAR) point cloud data and high-resolution aerial imagery data. An ArcGIS based algorithm was developed to process the LiDAR data for quick access and updating.

Speaker(s)

Dr. Ziqi Song is the Division Head for Transportation, Civil & Environmental Engineering at Utah State University (USU). Ziqi received his PhD in Transportation Engineering from the University of Florida. He has received several awards, including the Researcher of the Year in 2019!

Target Audience

This presentation is for personnel who are responsible for managing the roadside inventory for their organizations. Those working in GIS and surveying would benefit from this practical, ready-to-implement technology transfer.