针对生态驾驶行为推广应用中存在的特征描述、评估甄别和矫正优化三大核心问题,借助模拟和自然驾驶实验平台,在明确生态驾驶行为对车辆绿色、安全和顺畅运行综合影响的基础上,重点研究形成了生态驾驶行为特征的图谱表达方法,建立了基于3层BP网络结构的生态驾驶行为精确评估甄别模型,确立了基于驾驶员特性的差别化生态驾驶行为反馈优化方法.研究提升了生态驾驶行为的应用实施效果,并为解决大数据背景下面向安全、生态和顺畅三位一体的驾驶行为管理提供借鉴.
The objective of this research is to find effective methods about the three corecomponents of eco-driving behavior application and promotion in practice: characteristics description,evaluation and optimization. This study is utilizing a driving simulator and a naturalistic driving platform. First,the comprehensive influence of eco-driving on vehicle green,safe and efficient operating was analyzed.Then,three innovative methods were established: 1) a characteristic graph based approach for ecodriving description; 2) BP network models for accurate eco-driving evaluation and identification; and 3)a customized eco-driving feedback optimization method based on driver personality. The study results lay a foundation for eco-driving behavior application and promotion. Furthermore,the study also proposes a method system of micro-driving behavior delicacy management to achieve safe,green and efficient trips in the big data era.