#221 Adaptive Traffic Signalization Strategies
- Principal Investigator
- Stephen Smith
- Status
- Completed
- Start Date
- Jan. 1, 2010
- End Date
- Dec. 31, 2010
- Project Type
- Research Advanced
- 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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Strategic Description / RD&T
Deployment Plan
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Expected Outcomes/Impacts
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Expected Outputs
TRID
Individuals Involved
| Name | Affiliation | Role | Position | |
|---|---|---|---|---|
| sfs@cs.cmu.edu | Smith, Stephen | Robotics Institute | PI | Faculty - Tenured |
Budget
Amount of UTC Funds Awarded
$40950.12Total Project Budget (from all funding sources)
$40950.12Documents
| 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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