NSF award 2551684 · Texas Christian University

CRII: III: Learning Spatiotemporal Impacts of Text-enriched Traffic Events with Injection of Interpretability from Graph Neural Networks and Physics-Informed Machine Learning

Final report due

28 November 2027

in 406 days · The award ends on 31 July 2027.

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Decide about an extension2 Apr 2027in 166 days
award ending 2027-07-31 · Research.gov
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Extension request16 Jun 2027in 241 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2027in 276 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2027in 406 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2027in 406 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2027in 406 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2027.

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Award card

Award number: 2551684
Period of support: 15 Sep 2025 – 31 Jul 2027
Amount: $174,734
Awardee: Texas Christian University, Fort Worth, TX
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Predicting the future spatiotemporal impacts and underlying cascading patterns of the traffic incidents that occur within the transportation systems could offer considerable benefits to society. As traffic incidents are responsible for approximately 25% of all traffic delays, costing the United States economy an estimated $87 billion annually, an accurate and explainable predictive solution can help mitigate these…

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