The Analysis of Bus Driving Behavior on Fuel Consumption of Vehicles

• Main Authors: WU,YI-XIN, 吳奕昕
• Other Authors: YEH,CHAO-FU
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/34312385670140170623

碩士 === 逢甲大學 === 運輸科技與管理學系 === 106 === Facing the global warming, various countries all hand in hand face this stern economic globalization issue, Taiwan is not certainly able to stay out, taking this into consideration, the government advocates to carry on the guidance with promoting various energy saving measures in view of various departments. In Taiwan, the greenhouse gas emissions in various department in 2013, the traffic department is second department industry sector for emission of 〖CO〗_2, especially for the highway transportation (approximately 95% energy consumption), goes far beyond other transportation system energy consumptions of same time, obviously sees the road transport system energy conservation to reduce the carbon the importance. In highway transportation the traffic department, the bus is for a long time uses vehicles, and travel distance is long, therefore makes the important target who one pays attention to regarding the big guest car and influence of big goods car energy loss and pollutant emission. Our research aims at using the 2nd generations of on board diagnostics II system (OBD II) to output the engine oil consumption senate number to get hold of a car instant material knew the dynamic energy-efficient driving behavior of driver, and analyzes of driving behaviors various drivers immediately whether is the energy conservation.(from human, car, road and external environment viewpoint discussion). Therefore, this research by rear end material integrated platform and data analysis demonstrated that driving behavior, in order to achieves the management of energy saving for bus company, and reach the object of the overall energy saving in the country. The results show that the factors affecting fuel consumption are speed, Engine temperature, Ambient air temperature and Travel distance are the dummy variables. Five variables are associated with the consumption.