Eco-driving using real-time optimization

M. A.S. Kamal, Taketoshi Kawabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Ecological (eco)-driving aims at improving fuel economy of a vehicle by taking smooth driving action in the road traffic networks. This tutorial paper presents an advanced eco-driving system for a host vehicle that uses information of surrounding vehicles, road gradients and the state of upcoming traffic signal to predict the future traffic states using the dynamical models, and based on the predicted information it generates the optimal vehicle control inputs in a model predictive control framework. The control objective is considered to maximize fuel economy by regulating a safe headway distance or cruising at the optimal velocity under bounded driving torque condition. A fast optimization technique using continuation and generalized minimum residual (C/GMRES) method is used in the framework for real-time optimization of control inputs. The proposed eco-driving system is evaluated in highly interactive urban traffic using the microscopic traffic simulator Aimsun, and its performance is compared with the traditional driving system.

Original languageEnglish
Title of host publication2015 European Control Conference, ECC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-116
Number of pages6
ISBN (Electronic)9783952426937
DOIs
Publication statusPublished - Nov 16 2015
EventEuropean Control Conference, ECC 2015 - Linz, Austria
Duration: Jul 15 2015Jul 17 2015

Publication series

Name2015 European Control Conference, ECC 2015

Other

OtherEuropean Control Conference, ECC 2015
CountryAustria
CityLinz
Period7/15/157/17/15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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