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Vehicle speed control algorithms for data delivery and eco-driving

  • Sanjiban Kundu
  • , Amit Singh
  • , Sandipan Kundu
  • , Chunming Qiao
  • , Yunfei Hou
  • SUNY Buffalo

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

5 Scopus citations

Abstract

Recently, V2V/V2I and connected vehicle (CV) technologies have received considerable research interest due to its potential breakthrough applications in eco-driving, road safety, surveillance, infotainment, and many more. In this paper, for the first time in literature, we address the problem of data-aware eco-driving. Specifically, we harnessed the latest V2V/V2I technologies to propose vehicle speed advisory system based on microscopic fuel model that simultaneously minimize fuel consumption and maximize probability of data delivery, thereby making the system flexible in handling sustainability and data dependent applications. Preliminary numerical studies are carried out demonstrating the significance of the problem and the proposed algorithms in terms of fuel and data downloading efficiencies.

Original languageEnglish
Title of host publication2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-271
Number of pages2
ISBN (Electronic)9781479967292
DOIs
StatePublished - 2014
Event3rd International Conference on Connected Vehicles and Expo, ICCVE 2014 - Vienna, Austria
Duration: Nov 3 2014Nov 7 2014

Publication series

Name2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings

Conference

Conference3rd International Conference on Connected Vehicles and Expo, ICCVE 2014
Country/TerritoryAustria
CityVienna
Period11/3/1411/7/14

Keywords

  • Connected vehicles
  • Data delivery
  • Eco-driving
  • Fuel consumption
  • Microscopic fuel model
  • V2I
  • V2V

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