Low-speed cooperative car-following fuzzy controller for cybernetic transport systems

  • Vicente Milanés
  • , Mohamed Marouf
  • , Joshué Pérez
  • , David González
  • , Fawzi Nashashibi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

This paper describes the development of a Cooperative Adaptive Cruise Control (CACC) for the future urban transportation system at low-speed. The control algorithm was evaluated using two Cybecars as prototype vehicles. A longitudinal response model for the vehicles was developed to design the CACC system. The control algorithm was implemented on a fuzzy logic-based controller that has been tuned to minimize a cost function in order to get a trade-off between a proper car-following gap error and the smoothness of the control signal. The controller was firstly tested in simulation using the developed model. Then, the CACC was implemented in two Cybecars to validate the controller performance in real scenarios.

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2075-2080
Number of pages6
ISBN (Electronic)9781479960781
DOIs
Publication statusPublished - 14 Nov 2014
Externally publishedYes
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Conference

Conference2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/TerritoryChina
CityQingdao
Period8/10/1411/10/14

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