项目名称: |
Artificial Intelligence for Advance Landslide Warning along
Railroad Tracks in Pennsylvania and Delaware |
摘要: |
The objective of this study is to develop an artificial intelligence
(AI) model for advance landslide warning along railroad tracks in
Pennsylvania and Delaware. The objective will be achieved
through a collaborative research between researchers from the
Department of Civil and Environmental Engineering at The
Pennsylvania State University and the Railroad Engineering and
Safety Program at University of Delaware. The Penn State team
was recently awarded a Google AI Impact Challenge grant (July
2019 – June 2022) from Google.org. The main goal of the Google
AI grant is to improve the predictive capability of rainfall-induced
landslide hazards. Under the Google AI grant, the Penn State team
will: (1) develop and deploy deep learning tools to identify
landslide events and compile a landslide database; and (2) create
predictive deep learning models to improve the prediction
accuracy of where and when landslides occur and the potential
impacted areas, based on the compiled database and other data
sources, accounting for weather forecasts, topography, landcover,
and soil moisture. The proposed UTC project is a natural
extension of the Google AI grant. The Penn State team is waiting
for Google’s official 3 approval of using a portion of the Google
AI grant as matching to support the proposed study (the initial
feedback from Google.org on the matching was positive). |
资金: |
$368,828 |
资助组织: |
Office of the Assistant Secretary for Research and Technology |
项目负责人: |
Donnell, Eric T;Rajabipour, Farshad |
执行机构: |
Pennsylvania State University, University Park<==>University of Delaware, Newark |
开始时间: |
20200701 |
预计完成日期: |
20220630 |
主题领域: |
Environment;Freight Transportation;Geotechnology;Railroads |