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Model Predictive Control for Ecological Traffic Systems

Research Project

Project/Area Number 25820073
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Dynamics/Control
Research InstitutionKogakuin University (2014)
Kyushu University (2013)

Principal Investigator

MUKAI Masakazu  工学院大学, 工学部, 准教授 (50404059)

Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Keywords交通システム / 省エネルギー / 自動車制御 / 自動車 / 制御工学 / 機械力学・制御 / 交通流制御 / 省燃費運転
Outline of Final Research Achievements

This research proposes a control algorithm for automobiles to save fuel consumption based on traffic signal information. It is assumed that the traffic information can be obtained in advance. To obtain the optimal driving pattern finite horizon optimal control problem based on the traffic signal information is solved. Computer simulation is carried out to confirm the effectiveness of the proposed method. In this simulation actual road data and signal data are used. It shows that the proposed method saves the fuel consumption more than 10% against driving like human drivers. A control method for signal is also considered to improve the fuel economy by using the optimal velocity of vehicle.

Report

(3 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • Research Products

    (7 results)

All 2015 2014 2013

All Presentation (6 results) Book (1 results)

  • [Presentation] Nonlinear Model Predictive Control of Battery Electric Vehicle with Slope Information2014

    • Author(s)
      G. Valenzuela, M. Mukai, T. Kawabe
    • Organizer
      the 2014 IEEE International Electric Vehicle Conference
    • Place of Presentation
      Florence
    • Year and Date
      2014-12-14 – 2014-12-17
    • Related Report
      2014 Annual Research Report
  • [Presentation] Merging trajectory generation for vehicle on a motorway using receding horizon control framework -Consideration of its applications2014

    • Author(s)
      M. Mukai, T. Kawabe
    • Organizer
      the IEEE Multi-conference on Systems and Control 2014
    • Place of Presentation
      Nice
    • Year and Date
      2014-10-08 – 2014-10-10
    • Related Report
      2014 Annual Research Report
  • [Presentation] Model Predictive Control for Eco-Driving Based on Prediction of Preceding Vehicle Motion with Traffic Signal Information2014

    • Author(s)
      H. Aoki, M. Mukai, T. Kawabe
    • Organizer
      SICE Annual Conference 2014
    • Place of Presentation
      Sapporo
    • Year and Date
      2014-09-09 – 2014-09-12
    • Related Report
      2014 Annual Research Report
  • [Presentation] Driver Assistance System Using Feasibility of Mixed Integer Programming Based on Response of Drivers2014

    • Author(s)
      M. Mukai, T. Kawabe
    • Organizer
      SICE Annual Conference 2014
    • Place of Presentation
      Sapporo
    • Year and Date
      2014-09-09 – 2014-09-12
    • Related Report
      2014 Annual Research Report
  • [Presentation] 混合整数計画法を用いたモデル予測制御による自動車の合流経路生成2014

    • Author(s)
      向井正和
    • Organizer
      第1回計測自動制御学会マルチシンポジウム
    • Place of Presentation
      電気通信大学
    • Related Report
      2013 Research-status Report
  • [Presentation] 信号機情報を用いた混合整数計画法によるモデル予測型省燃費運転制御2013

    • Author(s)
      青木博
    • Organizer
      第56回自動制御連合講演会
    • Place of Presentation
      新潟大学
    • Related Report
      2013 Research-status Report
  • [Book] 実時間最適化による制御の実応用2015

    • Author(s)
      大塚敏之,浜松正典,永塚満,川邊武俊,向井正和,M.A.S.Kamal,西羅光,山北昌毅,李俊黙,橋本智昭
    • Total Pages
      243
    • Publisher
      コロナ社
    • Related Report
      2014 Annual Research Report

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Published: 2014-07-25   Modified: 2019-07-29  

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