DOI: 10.21949/1eqg-jh21
title: Photogrammetry and LiDAR-Based Precast Railroad Crossties Abrasion Damage Detections [supporting dataset]

description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-03-19. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.

Public Access Note: This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation:

Guan, Shanyue and Chao Sun (2025). Photogrammetry and LiDAR-Based Precast Railroad Crossties Abrasion Damage Detections [supporting dataset]. Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center https://doi.org/10.21949/1eqg-jh21
description: Recent derailment accident that happened in East Palestine, Ohio has drawn huge public attention to railroad system safety. While this accident is under investigation, one of the major contributions to many other derailment accidents is the precast concrete crossties abrasion damage. Concrete crossties can lose concrete sections on portions of the tie bottom and sides during service. Identifying the abrasion damage of precast concrete crossties is critical to extend the railroad service life and prevent potential derailment. This project is a collaboration among Purdue University, Louisiana State University, Rocla Concrete Tie, and CSX. The ultimate goal of this research is to develop mitigation measures to reduce concrete railroad tie section loss at the ballast interface based on expected service life. As a first step to achieve this goal, this project develops a photogrammetry and LiDAR scanning-based precast concrete crossties abrasion damage detection system.

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