Ecological driver assistance system using model-based anticipation of vehicle-road-traffic information

被引:64
作者
Kamal, M. A. S. [1 ]
Mukai, M. [2 ]
Murata, J. [2 ]
Kawabe, T. [2 ]
机构
[1] Fukuoka Ind Sci & Technol Fdn, Sawara Ku, Fukuoka, Japan
[2] Kyushu Univ, Fac Informat Sci & Elect Engn, Nishi Ku, Fukuoka 812, Japan
关键词
D O I
10.1049/iet-its.2009.0127
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a novel concept of an ecological driver assistance system (EDAS) that may play an important role in intelligent transportation systems (ITS) in the near future. The proposed EDAS is designed to measure relevant information of instant vehicle-road-traffic utilising advanced sensing and communication technologies. Using models of vehicle dynamics and traffic flow, it anticipates future situations of the vehicle-road-traffic network, estimates fuel consumption and generates the optimal control input necessary for ecological driving. Once the optimal control input becomes available, it could be used to assist the driver through a suitable human interface. The vehicle control method is developed using model predictive control algorithm with a suitable performance index to ensure safe and fuel-efficient driving. The performance of the EDAS, in terms of speed behaviour and fuel consumption, is evaluated on the microscopic transport simulator AIMSUN NG. Comparative results are graphically illustrated and analysed to signify the prospect of the proposed EDAS in building environmentally friendly ITS.
引用
收藏
页码:244 / 251
页数:8
相关论文
共 17 条
  • [1] AKCELIC R, 1982, 124 ARR BOARD
  • [2] Bryson A.E., 2018, Applied optimal control: optimization, estimation and control
  • [3] *DEP TRANSP, 1994, NEW CAR FUEL CONS OF
  • [4] FERREIRA ELJ, 1982, CAR FUEL CONSUMPTION
  • [5] *FORD WERKE, 2003, FORD EC SCHNELL SCHA
  • [6] Gipps P. G., 1981, TRANSP RES BOARD B, V15, P403
  • [7] Ichihara T., 2009, P 16 ITS WORLD C SEP
  • [8] KAMAL MAS, 2009, P 16 ITS WORLD C SEP
  • [9] Kelley C. T., 1995, ITERATIVE METHODS LI, DOI [10.1137/1.9781611970944, DOI 10.1137/1.9781611970944]
  • [10] Maciejowski J. M., 2002, Predictive control with constraints