Development of a Visualization, Sharing, and Processing Platform for Large-Scale Highway Point Cloud Data

Remache-Patino, Bryan; Gerasimidis, Simos; Ai, Chengbo

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Development of a Visualization, Sharing, and Processing Platform for Large-Scale Highway Point Cloud Data

2024-12-01
By Remache-Patino, Bryan ; Gerasimidis, Simos ; Ai, Chengbo

File Language:

English

Details

Creators:

Remache-Patino, Bryan ; Gerasimidis, Simos ; Ai, Chengbo
Corporate Creators:

University of Massachusetts at Amherst
Corporate Contributors:

Massachusetts Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:

Cloud Computing Cooperation Data Sharing Decision Making Geographic Information Systems Infrastructure Laser Radar Network Platform Potree Spatial Analysis Visualization
Publication/ Report Number:

25-068
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report: March 2023 -December 2024
Corporate Publisher:

Massachusetts. Office of Transportation Planning
Abstract:

This study presents the development and validation of a web-based platform designed for the visualization, sharing, and processing of large-scale LiDAR point cloud data tailored to the operational needs of MassDOT. Leveraging open-source technologies, particularly Potree, the platform addresses key challenges associated with the management of high-resolution 3D spatial data, including data size, format complexity, and limited accessibility. Major contributions include enhancements to Potree’s architecture for efficient data loading, modular input control, and expanded compatibility with diverse LiDAR formats. Crucially, the platform integrates external GIS data using GeoJSON as an intermediate format, enabling bidirectional workflows between Potree and existing spatial analysis systems. The platform demonstrates its effectiveness in supporting infrastructure assessment, decision-making, and multi-agency collaboration through five detailed case studies, including bridge inspection, asset management, project estimation, horizontal curve safety analysis, and statewide data management. This work establishes a scalable and extensible framework for modernizing LiDAR data utilization in transportation applications.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:3c354ea2a3b940bdea4000d95b6d26533d8b579cc49752c03b9bdbf3fc392a6ff2ed074eb93b2d56b1f7e401fbdfd9cf43be6bc14fa14b5071d2acd074c380b4
Download URL:

https://rosap.ntl.bts.gov/view/dot/86814/dot_86814_DS1.pdf
File Type:

[PDF - 1.60 MB ]

File Language:

English

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