Controlling for unsafe events in dense traffic through autonomous vehicles

Daniel B. Work, R. Stern, F. Wu, M. Churchill, S. Cui, H. Pohlmann, B. Seibold, B. Piccoli, R. Bhadani, M. Bunting, J. Sprinkle, M. L. Delle Monache, N. Hamilton, R. Haulcy

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

Abstract

This talk focuses on stop-and-go instabilities in dense traffic flows, and how autonomous vehicles can be applied to control for these instabilities.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV 2017 (part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages7
Number of pages1
ISBN (Electronic)9781450349765
DOIs
StatePublished - Apr 18 2017
Event1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV 2017 - Pittsburgh, United States
Duration: Apr 21 2017 → …

Publication series

NameProceedings - 2017 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV 2017 (part of CPS Week)

Conference

Conference1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV 2017
CountryUnited States
CityPittsburgh
Period4/21/17 → …

Bibliographical note

Funding Information:
This work supported by the National Science Foundation project "Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles" under awards CNS-1446435, 1446690, 1446702, 1446715. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Keywords

  • Sugiyama experiment
  • Traffic flow

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