Osamu Masutani

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Social insects perform complex tasks without top-down-style control, by sensing and depositing chemical markers called "pheromone". We have examined applications of this pheromone paradigm towards realizing intelligent transportation systems (ITS). Many of the current traffic management approaches require central processing with the usual risks of overload,(More)
Social insects such as ants and bees perform complex tasks with pheromone communication despite lack of top-down style control. We have examined applications of this pheromone paradigm towards ITS. In this paper, a car is regarded as an insect that releases (electronic) pheromone that represents density of traffic. We propose a method to predict future(More)
This paper introduces BEIRA, an area-based map user interface for location-based contents. Recently, various web map services are widely used to search for location-based contents. However, browsing a large number of contents that are arranged on a map as points may be troublesome. We tackle this issue by using area-based representations instead of points.(More)
General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path(More)
This paper introduces a new map browser of location based contents (LBC) that summarizes area characteristics. Recently various web map services have been widely used to search web contents. As LBC increase, browsing a number of LBC which are viewed as POI (point of interest) on a geographical map becomes inefficient. We tackle this issue by using AOI (area(More)
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