Near-real-time assessment of flood-induced transportation system disruptions

Major Goals and Objectives

The ultimate goal of this proposed study is to develop a near-real-time system for flood inundation mapping and flood depth estimation, finally enabling timely assessments of community transportation network disruptions during flood events. As part of this effort, three key anticipated outcomes will be delivered: (1) An off-the-shelf flood inundation mapping model; (2) an algorithm that estimates flood depth by integrating flood inundation maps with digital elevation models, and (3) an algorithm that assesses transportation system disruptions by combining flood information with real-world road network data. 

Research Information

Principal Investigator:
Tianle Duan
Initiation Date:
2025
Affiliation:
Purdue University

Contacts

Qingchun Li
qingchun@purdue.edu
Tianle Duan
duan114@purdue.edu
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