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Data and Connected Vehicle Support of Active Traffic Management Strategies
(October 31, 2016)
Estimating Back of Queue Location Based on Connected Vehicle Technologies
Presenter: Samaneh Khazraeian
Presenter’s Org: Florida International University (FIU)
The purpose of the
T3e
webinar series is to provide a platform for students to share their research findings. References in this webinar to any specific commercial products, processes, or services, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the U.S.
DOT.
The slides in this presentation are branded with the FIU Engineering and Computing logo.
Slide 1: Presenter Introduction
Samaneh Khazraeian, Ph.D. Candidate
- Research Interests:
- Connected vehicle technology
- Traffic Modeling
- Intelligent Transportation Systems
- Traffic Operation
- Dissertation Title:
- Methods for Utilizing Connected Vehicle Data in Support of Traffic Management
- Selected Honors/Awards:
- Best Student Paper Award,
TRB
15th International Conference on Managed Lanes, 2016
-
WTS
International Southwest Award, WTS International, 2016
- Third Place, 3 Minute Thesis Competition-Mobility Category, 2016
UTC
Conference, 2016
- University-Wide Scholarship Award, Florida International University, 2015
- Helene M. Overly Memorial Scholarship, WTS South Florida Chapter, 2015
- Student Government Association (SGA) Award, Florida International University, 2014
[This slide contains a photo of Samaneh Khazraeian.]
Slide 2: Background
- Rear-end collisions - caused by slow/stopped traffic
- Queue warning systems (QWS): Timely reaction of drivers facing the queue
- Connected vehicles-based
BOQ
estimation: Faster and more accurate
[This slide contains a photo of the queue warning symbol with
LED
technology.]
Slide 3: BOQ Estimation Methodology
[This slide contains a flowchart of the BOQ estimation methodology steps.]
Slide 4: Results
Estimated queue lengths: connected vehicle-based vs detector-based and ground truth
[This slide contains two charts of results from estimated queue lengths: the worst
TCA
Run and the median TCA run.]
Slide 5: Results
T-test Conducted for Determining the Effect of Queue Warning System on the Number of Rear-end Conflicts Resulted from the SSAM (Surrogate Safety Assessment Model)
[This slide contains a table of the results of tests conducted for Determining the Effect of Queue Warning System on the Number of Rear-end Conflicts Resulted from the SSAM.]
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