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Empirical evidence of connected environment driving on fuel consumption and emissions

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journal contribution
posted on 2024-06-21, 15:30 authored by Yasir AliYasir Ali, Anshuman Sharma, Zuduo Zheng, Md Mazharul Haque
A connected environment allows the sharing of information that can homogenise traffic flow by assisting drivers during their driving tasks, which may impact fuel consumption and emissions. However, this impact of connected environment driving is largely hypothesised or assessed via numerical simulations that lack factors reflecting human driving behaviour. This study fills this gap by investigating fuel consumption and emissions in a novel connected environment, which assists in making real-time decisions by creating 360º awareness of surrounding traffic. Using high-quality microscopic data obtained through a driving simulator, the fuel consumption and pollutant emissions of 78 participants are computed using four models from the literature. Results indicate that connected environment driving significantly reduces fuel consumption and pollutant emissions relative to a traditional driving environment, with the largest reduction being observed when responding to changes in traffic lights. Overall, results provide evidence of fuel savings in the connected environment using experimental data.

Funding

Australian Research Council Discovery Project (Grant Number: DP210102970)

QUT Human Research Ethics Committee (Grant Number: 1600000871)

History

School

  • Architecture, Building and Civil Engineering

Published in

IEEE Transactions on Intelligent Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2024-04-27

Publication date

2024-04-30

Copyright date

2024

ISSN

2379-8858

eISSN

2379-8904

Language

  • en

Depositor

Dr Yasir Ali. Deposit date: 14 June 2024

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