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    题名: 職業大客車環保暨安全駕駛績效評估模式之探討;A study of the performance evaluation model on the eco-safe driving bus
    作者: 彭德桓;PENG,TE-HUAN
    贡献者: 機械工程研究所
    关键词: 節能指標;安全指標;燃油效率;節能安全駕駛;Eco-Safe Driving;Fuel Economy;Eco-driving indicator;Safe-driving indicator
    日期: 2012-08-29
    上传时间: 2012-09-11 18:20:12 (UTC+8)
    出版者: 國立中央大學
    摘要: 由於大型車輛為民眾較常搭乘的大眾運輸運具,能減少私人運具的使用,提升能源的使用效率。但肇事時會造成重大傷亡,常成為社會關注的焦點。此外道路交通已佔所有交通運輸大部分的溫室氣體排放,因此先進國家推動了節能減碳策略,積極推行綠色交通計畫,發展適應人類居住環境。本研究以城際客運大型車輛職業駕駛人為研究對象,收集駕駛行為資料,以分析能源消耗及不安全駕駛行為,作為宣導及改善駕駛行為的根據。本研究採用實驗室研發的行車偵測系統,並且配合OBDII車輛診斷設備針對60位不同的大客車職業駕駛者,以國道路線進行實車測試。實驗完畢之後將收集的行車資料進行格式化放入資料庫中,以分析能源消耗及不安全駕駛行為。研究中發現每一位司機都有其起步習慣,只是在燃油效率呈現上有所不同,起步習慣於引擎轉速1400rpm~1600rpm換檔有較佳的燃油效率表現。本研究又利用Ryosuke Ando等人的分析方式將節能安全駕駛數據化,將起步行為、車速穩定行為、怠速行為定義為節能指標;重加速度行為、重減速度定義為安全指標,結果顯示,指標總分數與完整路線燃油效率、國道路線燃油效率呈現高度正關。Bus is one of public transportations that people often chooses to take. It can reduce the use of private vehicles and enhance the efficiency of energy use. Traffic incidents however, often draw major public attention. Reducing consumption and the greenhouse effect is also an important issue for every country. Hence, in this study, researchers collected the data of driving behavior to analyze energy consumption and unsafe driving behavior.This research is based on our laboratory driving detection system which combines the ODDII on-board diagnostic device to experiment with 60 different bus drivers. After the experiment, the data of the driving process will be formatted into a database to analyze energy consumption and unsafe driving behavior.In this study, we found that every driver has his own habits of starting and it is different in terms of fuel economy. There is better fuel economy performance starting shift in engine speed 1400rpm ~ 1600rpm. Ryosuke Ando et al analysis used in this study includes the starting behavior, the speed and stability behavior, the Idling behavior is defined as the eco-driving indicator and the heavy acceleration behavior, the heavy deceleration is defined as safe-driving indicators. The results show that the total indicator scores were highly correlated to the fuel economy of all journey and fuel economy of highway.
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