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Increasing CO2 emissions from vehicles is becoming a major concern in automotive society, and variety of future types of cars are intensively investigated. However it is not clear which level of performance and cost must be achieved for the future cars to be available in a market and how much percentage of cars is necessary to be replaced by the future cars for the conservation of environment. The objective of this paper is to evaluate the possibility of market growth of future cars, as hybrid cars, electric vehicles and fuel cell cars, based on the performance and economic aspects. This paper investigates the emission reduction potential of these vehicles, and also compares the composition of vehicle types and emissions for a variety of scenarios of consumer characteristics, economic growth, fuel price, performance of cars, and carbon tax control measures. A model of user preference of cars was established from the statistic analysis of past data.

Investigation on diffusion process is required in variety of fields such as chemical reaction, combustion, and environmental studies. However, there is no appropriate index for analyzing degree of homogeneity and scales of the clouds in diffusion field. This paper presents comprehensive work of the author on Entropic Method for determining the homogeneity degree and the scale of the heterogeneous clouds: in this paper large scale cluster of fluids, for example fuel vapor (or air), is termed “cloud”. A method for determining a mean effective diffusion-coefficient from the pictures is also discussed. The entropy analysis is based on the concept of statistical entropy, whose value increases with the progress of diffusion process. The paper explains the methodology and shows some examples revealed by the analysis.