TY - GEN
T1 - On board eco-driving system for varying road-traffic environments using model predictive control
AU - Kamal, M. A.S.
AU - Mukai, M.
AU - Murata, Junichi
AU - Kawabe, Taketoshi
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649421244&partnerID=8YFLogxK
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U2 - 10.1109/CCA.2010.5611196
DO - 10.1109/CCA.2010.5611196
M3 - Conference contribution
AN - SCOPUS:78649421244
SN - 9781424453627
T3 - Proceedings of the IEEE International Conference on Control Applications
SP - 1636
EP - 1641
BT - 2010 IEEE International Conference on Control Applications, CCA 2010
T2 - 2010 IEEE International Conference on Control Applications, CCA 2010
Y2 - 8 September 2010 through 10 September 2010
ER -