A study on economical vehicle platooning strategy in Urban driving scenarios

Yao Ma, Junmin Wang

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

1 Scopus citations

Abstract

This paper presents a qualitatively study of driver’s behavior impacts on the fuel consumption and travel time of vehicle platooning system under urban driving scenarios. Vehicle platooning is proven advantageous in improving traffic flow, safety, energy efficiency and emission performance. To design effective platooning strategy, a better understanding of how each driver’s behavior influences the overall platoon fuel and time cost will be helpful. An integrated microscopic traffic model with fuel consumption estimation is developed to simulate urban traffic. Each driver’s behavior is categorically depicted by personalized parameters in the model. Through extensive Monte Carlo simulations, a strong correlation result is found between maximum acceleration of leading car and travel time, fuel consumption, monetized cost of the platoon, respectively. The relationship is further described by a first-order rational model with reasonably well goodness of fit.

Original languageEnglish
Title of host publication2018 IEEE Vehicle Power and Propulsion Conference, VPPC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538662038
DOIs
StatePublished - Jan 7 2019
Event15th IEEE Vehicle Power and Propulsion Conference, VPPC 2018 - Chicago, United States
Duration: Aug 27 2018Aug 30 2018

Publication series

Name2018 IEEE Vehicle Power and Propulsion Conference, VPPC 2018 - Proceedings

Conference

Conference15th IEEE Vehicle Power and Propulsion Conference, VPPC 2018
CountryUnited States
CityChicago
Period08/27/1808/30/18

Keywords

  • Driver behavior
  • Fuel economy
  • Vehicle platooning

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