Loughborough University
Browse
- No file added yet -

Energy-efficient automated driving: effect of a naturalistic eco-ACC on a following vehicle

Download (647.79 kB)
conference contribution
posted on 2023-05-24, 13:04 authored by James FlemingJames Fleming, William JB Midgley

The optimal control problem of eco-driving, driving a vehicle using a minimal amount of fuel or electrical energy, has received much attention in the intelligent vehicles literature with many recent proposals for eco-driving adaptive cruise control systems (eco-ACC). In this paper, we consider a recentlyintroduced ‘naturalistic’ eco-ACC approach, which was designed to give human-like behaviour in vehicle following. For this eco-ACC, we show that in car following and start-stop traffic scenarios, the eco-ACC benefits not only the ego vehicle but also a further following vehicle. To see if further reductions to total energy consumption are possible, we extend the eco-ACC system with an optimal control formulation that also minimises energy losses of the following vehicle assuming it behaves according to the intelligent driver model (IDM). This gives some minor reductions in energy usage but surprisingly, for a follower that behaves according to the IDM, the naturalistic eco-ACC appears to be nearly optimal for the problem of minimising total energy loss of both the ego vehicle and its follower.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2023 IEEE International Conference on Mechatronics (ICM)

Source

2023 IEEE International Conference on Mechatronics (ICM)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2023 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.

Publication date

2023-04-17

Copyright date

2023

ISBN

9781665466615

Language

  • en

Location

Loughborough, United Kingdom

Event dates

15th March 2023 - 17th March 2023

Depositor

Dr James Fleming. Deposit date: 23 May 2023

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC