Traffic Flow Smoothing At Scale
| dc.contributor.author | Work, Daniel B. | |
| dc.date.accessioned | 2022-02-22T21:40:55Z | |
| dc.date.available | 2022-02-22T21:40:55Z | |
| dc.date.issued | 2021-05-07 | |
| dc.description | Webinar | en_US |
| dc.description.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. | en_US |
| dc.description.sponsorship | U.S. Department of Transportation 69A3551747119 | en_US |
| dc.description.viewer | 1_pmoyid2u | |
| dc.identifier.uri | https://hdl.handle.net/1813/110993 | |
| dc.language.iso | en_US | en_US |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Traffic Flow Smoothing At Scale | en_US |
| dc.type | video/moving image | en_US |
| schema.accessibilityFeature | captions | en_US |
| schema.accessibilityHazard | unknown | en_US |