Development of a driving simulator based eco-driving support system Academic Article uri icon


  • 2015 Elsevier Ltd. This research developed an eco-driving feedback system based on a driving simulator to support eco-driving training. This support system could provide both dynamic and static feedback to improve drivers' eco-driving behavior. In the process of driving, drivers could get voice prompts (e.g., please avoid accelerating rapidly) once non-eco-driving behavior appeared, and also could see the real-time CO2 emissions curves. After driving, drivers could receive an eco-driving evaluation report including their fuel consumption rank, potential of fuel saving and driving advice corresponding to their driving behavior. In this support system, five items of non-eco-driving behavior (i.e., quick accelerate, rapid decelerate, engine revolutions at a high level, too fast or unstable speed on freeways and idling for a longer time) were defined and could be detected. To validate this support system's effectiveness in reducing fuel consumption and emissions, 22 participants were recruited and three driving tests were conducted, first without using the support system, then static feedback and then dynamic feedback utilized respectively. A reduction of 5.37% for CO2 emissions and 5.45% for fuel consumption was obtained. The results indicated that the developed eco-driving support system was an effective training tool to improve drivers' eco-driving behavior in reducing emissions and fuel consumption.

published proceedings

  • Transportation Research Part C Emerging Technologies

altmetric score

  • 3

author list (cited authors)

  • Zhao, X., Wu, Y., Rong, J., & Zhang, Y.

citation count

  • 47

complete list of authors

  • Zhao, Xiaohua||Wu, Yiping||Rong, Jian||Zhang, Yunlong

publication date

  • January 1, 2015 11:11 AM