nowadays, transportation sector consumes about 27 percent of the whole energy in iran. therefore, after domestic and business sectors which consume about 40 percent of the whole energy, transportation is placed in the second rank. however, the financial value of transportation is of the highest importance. moreover, having 55percent of gasoline product consumption transportation has been also r...

the effects of unleaded gasoline and unleaded gasoline–ethanol blends on engine performance and pollutant emissions were investigated experimentally in a single cylinder, four-stroke spark-ignition engine with variable engine speeds (2600–3500 rpm). four different blends on a volume basis were applied. these are e0 (0% ethanol + 100% unleaded gasoline), e3 (3% ethanol + 97% unleaded gasoline), ...

The driving behavior, road, and traffic conditions greatly affect the gasoline consumption of an automobile. We believe that accurate prediction of gasoline usage as a function of the above can be used to obtain optimal driving behavior, for given road and traffic conditions, to reduce gasoline consumption. This results in great dollar savings and also reduces the harmful effects of gasoline us...

Gasoline taxes can correct externalities associated with automobile use, reduce dependency on foreign oil, and raise government revenue. Our understanding of the optimal gasoline tax and the efficacy of existing taxes is largely based on empirical analysis of consumer responses to gasoline price changes. In this paper, we directly examine how gasoline taxes affect consumer behavior as distinct ...

The effects of unleaded gasoline and unleaded gasoline–ethanol blends on engine performance and pollutant emissions were investigated experimentally in a single cylinder, four-stroke spark-ignition engine with variable engine speeds (2600–3500 rpm). Four different blends on a volume basis were applied. These are E0 (0% ethanol + 100% unleaded gasoline), E3 (3% ethanol + 97% unleaded gasoline), ...

This paper applies artificial neural networks to forecast gasoline consumption. The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. To forecast gasoline consumption (GC), the ANN uses previous ...

Concerns about energy security and climate change have sparked legislators’ interest in reducing gasoline consumption by increasing corporate average fuel-economy (CAFE) standards. Using an empirically rich simulation model and cost estimates for anticipated fuel-economy technologies, we estimate annual costs of reducing long-run gasoline consumption by 10% via a 3.8 miles per gallon increase i...

The aim of this research is to study the influence of using ethanol-gasoline fuel blends on spark ignition engine performance characteristics and compare the obtained results with those using base gasoline. An electric generator operated by a SI (spark ignition, four stroke, single cylinder, air cooled) engine was used for conducting this study. The tested fuels were gasoline (E0) and gasoline-...

This study investigates the relationship between changing gasoline prices and drunk-driving crashes. Specifically, we examine the effects of gasoline prices on drunk-driving crashes in Mississippi by several crash types and demographic groups at the monthly level from 2004 to 2008, a period experiencing great fluctuation in gasoline prices. An exploratory visualization by graphs shows that high...