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NSF award 2525925 · Lamar University

Collaborative Research: Learning-Based Scalable Predictive Control Strategies for Heterogeneous Traffic Networks

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

  • Extension request16 Jun 2027in 241 days

    award ending 2027-07-31 · Research.gov

  • No-cost extension notice21 Jul 2027in 276 days

    award ending 2027-07-31 · Research.gov

  • Final report due28 Nov 2027in 406 days

    award ending 2027-07-31 · Research.gov

  • Project outcomes report due28 Nov 2027in 406 days

    award ending 2027-07-31 · Research.gov

  • Award is closed out28 Nov 2027in 406 days

    award ending 2027-07-31 · Research.gov

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How we got this date

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

Read the rule on Research.gov

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Award card

Award number
2525925
Period of support
1 Oct 2025 – 31 Jul 2027
Amount
$212,099
Awardee
Lamar University, Beaumont, TX
Program
EPCL: Energy, Power, Control,
Directorate
ENG

Abstract

The widespread adoption of connected and automated vehicle technology is likely to take place over a number of years as the technology becomes more commonly accepted by the public and approved by regulatory authorities. Until then, it is essential to develop traffic management strategies that consider the uncertainty associated with heterogeneities in traffic networks and understand the extent to which these…

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