Affine projection based orientation procedures are presented for middle and large scale mapping from satellite line scanner images. The affine projection model is far better adaptable to satellite sensors which are featured by a narrow view angle than conventional central perspective models. And it has an advantage of not needing precise orbital information in orientation. The paper summarizes a sequence of the theories and verifies their validity with experiments on SPOT and MOMS stereo images, in which half a pixel accuracy was obtained for both the images with minimum required (4-9) GCPs.

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For effective and economical track maintenance, it is essential to predict the vibration of rolling stock due to track irregularities. In this study, we applied an FIR-model and a State Space model to predict vertical vibration of rolling stock. As a result, we found that it was possible to predict vertical vibration at an equation of a lower dimension, with a shorter data series, and at higher accuracy by both models than by the Faster Fourier Transform method. By applying these models, we can estimate the riding quality of train and predict it when train velocity increases.

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The aim of this study is to develop a new evaluation method for shared use of bicycles and pedestrians from a view point of their comfort, and to propose the level-of-service of sidewalks with shared use of bicycles and pedestrians which are mainly adopted in Japan. In this study, a model is developed through off road experiments, which can estimate the risk perceptions in the conflicts of bicycles and pedestrians. By employing this model, the evaluation index for mixed traffic using video survey is available. The index presents the predicted frequency of near-miss between cyclists and pedestrians. The author proposed new level-of-service for shared use of bicycles and pedestrians and clarified their relationship to traffic density, bicycle speed, level of safety sense of road users.

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The conclusive aim of this study is to develop a aggregative estimate tool for traffic demand with considering the mutual interaction between dynamic network flow and activity-travel behavior. A traffic simulator was developed for estimate of each individual's travel time on large scale road network.
In this traffic simulator, the strcture of micro traffic simulation was adopted. On the other hand, this simulator formulated flow of vehicle using K-V curve and made update of simulation-time by Event-Based approach, for reduction in calculation cost. In consequence, through the calculation test on virtual network, this simulaor was able to be adopted on large scale network.

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Traffic information from probe vehicles has great potential for improving the estimation accuracy of traffic situations, especially where no traffic detector is installed. A method for dealing with probe data along with conventional detector data is proposed in this paper. The probe data was integrated into the observation equation of the Kalman filter, in which state equations are represented by a macroscopic traffic flow model. The method was tested under several types of traffic conditions based on hypothetical data, giving considerably improved estimation results compared to those estimated without probe data. The effect of the percentage of probe vehicle deployment in a road network was also quantitatively assessed.

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