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  6. Traffic Flow Smoothing At Scale

Traffic Flow Smoothing At Scale

File(s)
TrafficFlowSmoothingatScale.mp4 (268.39 MB)
TrafficFlowSmoothingatScale.srt (167.51 KB)
Permanent Link(s)
https://hdl.handle.net/1813/110993
Collections
CTECH Webinars
Author
Work, Daniel B.
Abstract

The majority of the best-selling cars in the US are now available with SAE level-one automated driving features such as adaptive cruise control. As the penetration rate of these vehicles grows on the roadways, it is now possible to consider controlling the bulk human-piloted traffic flow by carefully designing these driver-assist features. This talk will discuss modeling, simulation, and field demonstration advancements that are needed to control automated vehicles to stabilize traffic flow at scale. Prior work on a closed course established that automated vehicles can eliminate human-generated phantom traffic jams that seemingly occur without cause, reducing fuel consumption by up to 40%. The talk will highlight the research challenges and progress towards demonstrating traffic flow smoothing with a fleet of connected and automated vehicles on the I-24 Smart Corridor in Tennessee, as part of the CIRCLES Consortium.

Description
Webinar
Sponsorship
U.S. Department of Transportation 69A3551747119
Date Issued
2021-05-07
Rights
Attribution 4.0 International
Rights URI
http://creativecommons.org/licenses/by/4.0/
Type
video/moving image
Accessibility Feature
captions
Accessibility Hazard
unknown

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