全球暖化對環境的影響甚鉅,再加上原油價格節節上升,如何減少開車油耗就成為一個重要的課題。本研究應用數位行車紀錄器及行車電腦(車上診斷系統)訊息,並納入駕駛的個人基本資料與人格特質,利用迴歸分析來建立小客車的瞬時油耗模型,分析駕駛在開車過程中,哪些駕駛行為是影響瞬時油耗的重要因子。 研究結果發現在基本資料變數分析方面,體重跟乘客載重都會造成瞬時油耗的上升,而經驗的累積則會降低瞬時油耗,如每年駕駛里程與持有駕照的時間。而駕駛者未婚、男性、人格特質個性內向群組的瞬時油耗較低。開車行為變數方面加速度、引擎轉速、節氣門位置是造成瞬時油耗上升的重要因子,角速度、速度、冷卻水溫則會造成瞬時油耗的下降。 關鍵字: 車上診斷系統、瞬時油耗因子、駕駛行為、人格特質、迴歸分析
Global warming affects environment greatly and a steep price hike in crude oil, how to reduce fuel consumption in passenger vehicles has been an important lesson. In this study, we construct an instant fuel consumption model through the combination of on-board diagnostics system, tachograph, driver personal information and personality with regression analysis. The purpose of this study is to find out important factors which affect the instant fuel consumption. The result showed that the weight of driver and passengers will cause the instant fuel consumption goes up. Besides the driving experience, like annual distance traveled and how long after having driver license, will cause the instant fuel consumption goes down. And the driver who is single, male, or introverted has lower instant fuel consumption. The significant factors for a rise in instant fuel consumption are acceleration, engine rpm and throttle position. Angular velocity, velocity, and engine coolant temperature will down the instant fuel consumption. Keywords: On-board Diagnostics (OBD), Instant Fuel Consumption Factor, Driving Pattern, Personality, Regression Analysis