Model Predictive Control for Ecological Driving Using Mixed Integer Programming Based on Traffic Signal Information

• MUKAI Masakazu

  Faculty of Engineering, Kogakuin University

• AOKI Hiroshi

  Department EE and Systems Engineering Division, Nissan Motor Co., Ltd.

• KAWABE Taketoshi

  Graduate School of Information Science and Electrical Engineering, Kyushu University

Bibliographic Information

Other Title

• 信号機情報を利用した混合整数計画法によるモデル予測型省燃費走行制御
• シンゴウキ ジョウホウ オ リヨウ シタ コンゴウ セイスウ ケイカクホウ ニ ヨル モデル ヨソクガタショウ ネンピ ソウコウ セイギョ

Abstract

This paper considers model predictive control for ecological driving based on the traffic signal information. In the control problem it is assumed that the traffic signal information can be obtained for the prediction horizon. The control problem is formulated as a mixed integer programming problem. The computer simulation is carried out to show the effectiveness of the proposed control algorithm. In the simulation the energy consumption is reduced more than 15% in comparison with the driver mimic control which does not use traffic signal information.

Journal

• Transactions of the Society of Instrument and Control Engineers

  Transactions of the Society of Instrument and Control Engineers 51 (12), 866-872, 2015

  The Society of Instrument and Control Engineers

Keywords

• model predictive control
• traffic control
• traffic signal
• mixed integer programming

Details

• CRID: 1390001204509894144
• NII Article ID: 130005114047
• NII Book ID: AN00072392
• DOI: 10.9746/sicetr.51.866
• ISSN: 18838189
• ISSN: 04534654
• NDL BIB ID: 027036928
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027036928
• Web Site: https://www.jstage.jst.go.jp/article/sicetr/51/12/51_866/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed