On board eco-driving system for varying road-traffic environments using model predictive control

M. A.S. Kamal, M. Mukai, Junichi Murata, Taketoshi Kawabe

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

67 Citations (Scopus)

Abstract

This paper presents model predictive control of a vehicle in a varying road-traffic environment for ecological (eco) driving. The vehicle control input is derived by rigorous reasoning approach of model based anticipation of road, traffic and fuel consumption in a crowded road network regulated by traffic signals. Model predictive control with Continuation and generalized minimum residual method for optimization is used to calculate the sequence of control inputs aiming at long run fuel economy maintaining a safe driving. Performance of the proposed eco-driving system is evaluated through simulations in AIMSUN microscopic transport simulator. In spite of nonlinearity and discontinuous movement of other traffic and signals, the proposed system is robust enough to control the vehicle safely. The driving behavior with fuel saving aspects is graphically illustrated, compared and analyzed to signify the prospect of the proposed eco-driving of a vehicle.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Control Applications, CCA 2010
Pages1636-1641
Number of pages6
DOIs
Publication statusPublished - Dec 1 2010
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: Sep 8 2010Sep 10 2010

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2010 IEEE International Conference on Control Applications, CCA 2010
CountryJapan
CityYokohama
Period9/8/109/10/10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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