The South African sugar industry moves 74% of the annual crop by road transport. As fuel prices continue to rise there is therefore a need to investigate the effects of load size and tractor size on the fuel consumption and the productivity of transport units. Tests have been carried out to evaluate the effects of these parameters for the tractor sizes most common in the sugar industry. Results...

field capacity, fuel consumption and drive wheel slippage in massey ferguson (mf399) tractor with standard and liquid ballasted (630 kg) axle load and at 4wd mode was evaluated and compared. the tests were conducted at the experimental station, college of agriculture, shiraz university, in a field with clay loam soil at average moisture content of 18% d.b. the experiment was of a randomized com...

This study aims to explore the trip fuel consumption from a large-scale dataset. To better understand how the multiple variables (e.g., average travel speed, trip distance) influence the trip fuel consumption, we propose the support vector machine (SVM) to learn the relationship between the trip fuel consumption and the corresponding factors. A large-scale GPS and CAN (Controller Area Network) ...

Many factors influence a vehicle’s rate of fuel consumption. Among them are engine efficiency, speed, aerodynamics, and rolling resistance. When it comes to the influence that pavement characteristics have on fuel consumption, one of the major contributors is surface roughness which impacts rolling resistance; more energy is required to propel a vehicle over a rough surface than over a smooth s...

The objective of this paper is to analyze the impact of changes in fuel prices and fuel intensity (i.e. liters of fuel used per 100 kilometers) on overall fuel (gasoline and diesel) consumption and on the demand for vehicle km driven in car passenger transport. This is important for deriving effective policy portfolios consisting of fuel taxes and technical standards such as fuel intensity mand...

This study investigates the causal relationship between clean and non-clean energy consumption and economic growth in Brazil over the period of 1980–2009. Clean energy consumption at aggregated level of total renewable energy consumption and disaggregated levels of hydroelectric, new renewables, and nuclear energy consumption are tested within a production function framework. A cointegration te...