Increasing congestion on roads in metropolitan region and increasing usage of private vehicles are the serious issues that affected to the development of the transportation sector. Sri Lanka incurs a huge economic loss of around 40 billion Rupees annually due to road traffic congestion and air pollution with too many vehicles on a limited road network. To provide a productive solution for these massive issues, it is important to identify the factors influencing to choose the mode for traveling by the people. All of the factors are related with the socio economic and service attributes. The objective of this study is trying to identify the factors affecting to select the transportation mode for their regular activities in the aspects of the personal characteristic and the travel-based characteristic. A survey was conducted to Colombo Metropolitan Area in the Western Province of Sri Lanka to conduct the quantitative research method and to find the influencing factor to select the traveling mode. The outcome of the factor analysis shows that. Income, Vehicle ownership, Safety and Comfort become the factors that show up many times compared with others factors.

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Abstract:We propose a novel color image arrangement method using an elastic transform based on histogram matching on some kinds of axes. The axes include the lightness axis and Principal Component (PC) axes obtained from Principal Component Analysis (PCA) in the RGB three-dimensional vector space that is an attribute space of color image. In this paper, we mainly present the principle of its automated color arrangement method especially based on Histogram Matching based on Gaussian Distribution (HMGD). Then, in order to detect the single-peak of histogram, we propose the method based on the curvature computation for the cumulative histogram. Furthermore, we conducted a questionnaire survey in order to investigate compare the changes in the feeling impression at the time of performing between Histogram Equalization (HE) processing and HMGD processing. As the result, we verify that where we perform HMGD processing to the images which have single-peak-histogram the feeling impression of images are improved.

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The appearance of a product has led to a trend for a consumer to purchase a product. Some products have shapes or parts that don't fulfill the consumer's desires and needs. This mean that often, choice of a consumer is inspired by the shape of a product. Therefore, It might be interesting to study on perception of shape in terms of semantic associations. The aim of this study is to investigate people's perception on gender of 3D-shape in terms of semantic association such as "feminine" or "masculine". In this paper we observed the effect of variable base on perceiving gender kansei of 3D-shapes. To assess base-variance of 3D-shape, we examined whether convexity and concavity of base in the context of sharp and curved forms. Results of our psychophysical experiment will be very important and helpful in the kansei-driven design.