教育訓練對國道客運油耗及駕駛行為指標影響的研究

A study on the influence of driving training program on the fuel consumption and driving behavior for the highway bus drivers

鍾易倫(Chung ,Yi-Lun)

指導教授 ： 王鴻龍

國立臺北大學/商學院/統計學系/碩士(2012年)

摘要

文獻顯示油耗與駕駛人格特質、駕駛行為有關。廖文德(2010)實證得出，小客車行駛時速維持在時速80-90較110公里以上省油；劉乃齊(2010)表示，駕駛者未婚、男性、人格特質個性內向的人瞬間油耗較低。大客車研究上，蔡宗憲(2008)以駕駛行為建構了大客車的油耗預測模式。劉乃齊(2008)、余志能(2011)相繼指出，小、大客車之駕駛者受過駕駛訓練與未受駕駛訓練對油耗表現具顯著性差異。駕駛行為研究上，呂俊寬(2006)、曾祥賓(2007)相繼訂定平順度、危險傾向、流暢度等指標，來描述駕駛行為。路況安全研究上，高金海(2010)發現使用道路安全指標呈現車禍易發生於彎道、下坡、易超速路段的現象。

本研究以方文昌、王鴻龍、姚修慎(2010)「行車數位學習機制應用在節能減碳教育之研究及推廣」研究駕化所蒐集之資料，包含行車紀錄器資料(車機資料)、油耗資料及人格特質問卷資料為基礎。考慮客運業者加油之特性，本研究提出直觀法與集群法等兩種方法併整油耗，以較充裕的自由度分析油耗預估模式。模式包括駕駛行為指標，駕駛之人格特質，以及參與訓練課程與否資訊，油耗預測模式將與其他研究者之結果做比較。分析結果顯示，採集群法並整的油耗分析上有較佳的解釋力。

關鍵字

迴歸分析、 集群分析、 油耗因子

並列摘要

The literature shows that fuel consumption is related to the driver connected personality and driving behavior.
Liao(2010) found that the fuel consumption is smaller when traveling speed is maintained at 80 to 90 km than over 110km. Liu(2010) expressed that driver who is single, male, or introverted has lower instant fuel consumption. Tsai(2008) established a fuel comsuption prediction model for bus drivers using their driving behavior. Liu(2010) and Yu(2011) proposed that Driving training program (DTP) had significant impact on fuel consumption. Lu(2006) and Tseng(2007) develop the driving behavior indexes, such as smoothing and dangerous trend. Gau (2010) used the road safety indexes to reveal that the accidents occurred very likely in high curvature roads, downhill and easy to speed road section.

This study us the data collected by Fang、Wang and Yao (2010). The data including driving information, collected from GPS equipped digital tachograph, fuel consumption data recorded by bus company and also the personal questionnaires, filled by the drivers. Adapting the Bus company's refueling custom, we proposed the method of intuition and the method of cluster to combine some fuel records along with driving behavior data. With enough degrees of freedom, we used some driving behavior indexes, the driver's personality index and taking DTP to establish a fuel consumption prediction model. And compared with other researchers' models. The result showed that of the method of cluster is better than the method of intuition.

並列關鍵字

Regression Analysis , Clustering , Fuel Consumption Factor

參考文獻

高啟涵 (2006)，運用資料採礦技術探討數位式行車紀錄器於公路客運駕駛員異常操作行為管理之研究，碩士論文，淡江大學運輸管理學系運輸科學研究所。

黃士瑋 (2010)，應用行車記錄進行油耗分析之研究，碩士論文，元智大學資訊工程所。

蔡宜良 (2009)，道路特徵對行車的影響之研究，碩士論文，元智大學資訊工程所。

王詩涵 (2006)，國道客運駕駛員駕駛行為、駕駛表現與人格特質之探討，碩士論文，國立成功大學交通管理科學研究所。

余志能 (2011)，國道客運假使教育訓練對油耗評估模式影響，碩士論文，國立台北大學統計學研究所。