摘要
为量化评价驾驶行为的生态性,提出一种基于AHP-EWM组合赋权和模糊综合算法的驾驶行为生态性评价方法。基于车联网系统采集到的车辆运行数据,从驾驶员操作和车辆运行状态两个层面选取7项影响车辆能耗排放的生态评价指标;运用考虑评价主体意向的层次分析法计算指标的主观权重,运用反映数据信息的熵权法计算指标的客观权重,引入距离函数对主客观权重进行优化组合;在此基础上结合模糊综合评价算法对驾驶行为生态性进行量化评价。结果表明,所用方法可以有效评价和区分驾驶员的驾驶行为生态性,有助于弥补目前生态驾驶行为评价研究方面的不足。
To quantitatively assess the eco-friendliness of driving behavior,a method combining AHP-EWM weighting and fuzzy comprehensive evaluation is proposed.Based on vehicle operation data collected from the telematics system,seven ecological evaluation indicators affecting energy consumption and emissions are selected from two levels:driver operations and vehicle operating conditions.The subjective weights of the indicators are calculated using the Analytic Hierarchy Process,which considers evaluator preferences,while the objective weights are determined using the Entropy Weight Method,reflecting data information.To integrate the advantages of both weighting methods,a distance function is introduced to optimize the combination of subjective and objective weights.Subsequently,the fuzzy comprehensive evaluation algorithm is applied to quantify the eco-friendliness of driving behavior.The results demonstrate that the proposed method effectively evaluates and differentiates the eco-friendliness of drivers'behaviors,addressing the current limitations in ecological driving behavior assessment research.
作者
傅俊超
邓建华
Fu Jun-chao;Deng Jian-hua(Collegel of Civil Engineering,Suzhou University of Science and Technology,Jiangsu Suzhou 215011)
出处
《内燃机与配件》
2025年第17期1-5,共5页
Internal Combustion Engine & Parts
关键词
生态驾驶
驾驶行为评价
层次分析法
熵权法
模糊综合评价
车联网数据
Eco-driving
Driving behavior evaluation
Analytic Hierarchy Process
Entropy weight method
Fuzzy comprehensive evaluation
Connected car data
