Eco-driving using real-time optimization

M. A.S. Kamal, Taketoshi Kawabe

研究成果: 著書/レポートタイプへの貢献会議での発言

9 引用 (Scopus)

抜粋

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.

元の言語英語
ホスト出版物のタイトル2015 European Control Conference, ECC 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ111-116
ページ数6
ISBN(電子版)9783952426937
DOI
出版物ステータス出版済み - 11 16 2015
イベントEuropean Control Conference, ECC 2015 - Linz, オーストリア
継続期間: 7 15 20157 17 2015

出版物シリーズ

名前2015 European Control Conference, ECC 2015

その他

その他European Control Conference, ECC 2015
オーストリア
Linz
期間7/15/157/17/15

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

これを引用

Kamal, M. A. S., & Kawabe, T. (2015). Eco-driving using real-time optimization. : 2015 European Control Conference, ECC 2015 (pp. 111-116). [7330531] (2015 European Control Conference, ECC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECC.2015.7330531