Stabilizing traffic flow via a single autonomous vehicle: Possibilities and limitations

Shumo Cui, Benjamin Seibold, Raphael Stern, Daniel B. Work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

126 Scopus citations

Abstract

In certain flow regimes, the ideal uniform vehicle flow on the road is unstable, and stop-And-go traffic develops. The instability that leads to this less fuel-efficient unsteady flow results from the collective behavior of all human drivers. This work studies under which circumstances the presence of a single autonomous vehicle (AV) can locally stabilize the flow, without changing the way the humans drive. If possible, this can enable traffic flow control via very few AVs serving as mobile actuators. First, the analysis of car-following models reveals that in idealized conditions (no system noise), the flow can in fact be made linearly stable by means of a low fraction of control vehicles. Second, we highlight the fundamental limitations of this sparse control when considering models with noise.

Original languageEnglish (US)
Title of host publicationIV 2017 - 28th IEEE Intelligent Vehicles Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1336-1341
Number of pages6
ISBN (Electronic)9781509048045
DOIs
StatePublished - Jul 28 2017
Externally publishedYes
Event28th IEEE Intelligent Vehicles Symposium, IV 2017 - Redondo Beach, United States
Duration: Jun 11 2017Jun 14 2017

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference28th IEEE Intelligent Vehicles Symposium, IV 2017
Country/TerritoryUnited States
CityRedondo Beach
Period6/11/176/14/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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