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

60 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

Fingerprint

Model predictive control
Model Predictive Control
Traffic
Traffic signals
Anticipation
Road Network
Fuel economy
Long-run
Fuel consumption
Continuation
Simulator
Reasoning
Simulators
Nonlinearity
Model-based
Calculate
Optimization
Simulation

All Science Journal Classification (ASJC) codes

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

Cite this

Kamal, M. A. S., Mukai, M., Murata, J., & Kawabe, T. (2010). On board eco-driving system for varying road-traffic environments using model predictive control. In 2010 IEEE International Conference on Control Applications, CCA 2010 (pp. 1636-1641). [5611196] (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2010.5611196

On board eco-driving system for varying road-traffic environments using model predictive control. / Kamal, M. A.S.; Mukai, M.; Murata, Junichi; Kawabe, Taketoshi.

2010 IEEE International Conference on Control Applications, CCA 2010. 2010. p. 1636-1641 5611196 (Proceedings of the IEEE International Conference on Control Applications).

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

Kamal, MAS, Mukai, M, Murata, J & Kawabe, T 2010, On board eco-driving system for varying road-traffic environments using model predictive control. in 2010 IEEE International Conference on Control Applications, CCA 2010., 5611196, Proceedings of the IEEE International Conference on Control Applications, pp. 1636-1641, 2010 IEEE International Conference on Control Applications, CCA 2010, Yokohama, Japan, 9/8/10. https://doi.org/10.1109/CCA.2010.5611196
Kamal MAS, Mukai M, Murata J, Kawabe T. On board eco-driving system for varying road-traffic environments using model predictive control. In 2010 IEEE International Conference on Control Applications, CCA 2010. 2010. p. 1636-1641. 5611196. (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2010.5611196
Kamal, M. A.S. ; Mukai, M. ; Murata, Junichi ; Kawabe, Taketoshi. / On board eco-driving system for varying road-traffic environments using model predictive control. 2010 IEEE International Conference on Control Applications, CCA 2010. 2010. pp. 1636-1641 (Proceedings of the IEEE International Conference on Control Applications).
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