Big Data Analysis

Massive trajectory data analysis and visualization

- Mobility pattern analysis using heterogeneous data -

Abstract

The spread of GPS devices and traffic IC cards means that massive quantities of human mobility data are stored throughout the world. Human mobility traces may change according to exogenous factors such as the traffic situation and weather conditions. We demonstrate multidisciplinary analysis and the visualization of mobility patterns at various levels of spatial magnitude (e.g., regional area, metropolitan area, and inside buildings) by combining heterogeneous external information such as SNS logs, weather reports, and event schedules. Further analysis will be aimed at building technologies for predicting human activities and situations in real time. This will enable just-in-time guidance as regards evacuation routes during a disaster and allow the development of applications for planning novel urban transportation systems etc.

Poster


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Reference

  1. doc

Presentor

Futoshi Naya
Futoshi Naya
Innovative Communication Laboratory
Machiko Toyoda
Machiko Toyoda
Innovative Communication Laboratory
Makoto Yamada
Makoto Yamada
Innovative Communication Laboratory