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Project

#221 Adaptive Traffic Signalization Strategies


Principal Investigator
Stephen Smith
Status
Completed
Start Date
Jan. 1, 2010
End Date
Dec. 31, 2010
Research Type
Advanced
Grant Type
Research
Grant Program
Private Funding
Grant Cycle
2010 Traffic21
Visibility
Public

Abstract

Develop traffic signal control strategies that utilize real-time information to coordinate signals in an urban network, reducing transit time for buses and private vehicles alike.    
Description
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Timeline
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Deployment Plan
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Expected Accomplishments and Metrics
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Individuals Involved

Email Name Affiliation Role Position
sfs@cs.cmu.edu Smith, Stephen Robotics Institute PI Faculty - Tenured

Budget

Amount of UTC Funds Awarded
$40950.12
Total Project Budget (from all funding sources)
$40950.12

Documents

Type Name Uploaded
Final Report 221_-_Final_Report_Zdo2Nzl.pdf Jan. 18, 2019, 6:20 a.m.
Publication 221_-_Publications_2.pdf Jan. 10, 2019, 6:27 a.m.
Publication 221_-_Publications_4.pdf Jan. 10, 2019, 6:28 a.m.
Publication Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles Oct. 24, 2020, 7:24 p.m.
Publication Learning Model Parameters for Decentralized Schedule-Driven Traffic Control. Oct. 24, 2020, 7:25 p.m.
Publication Accommodating high value-of-time drivers in market-driven traffic signal control Oct. 24, 2020, 7:27 p.m.

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