Name
Title | ||
|---|---|---|
Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers |
Abstract | ||
|---|---|---|
Transportation systems in mega-cities are often affected by various kinds of events such as natural disasters, accidents, and public gatherings. Highly dense and complicated networks in the transportation systems propagate confusion in the network because they offer various possible transfer routes to passengers. Visualization is one of the most important techniques for examining such cascades of unusual situations in the huge networks. This paper proposes visual integration of traffic analysis and social media analysis using two forms of big data: smart card data on the Tokyo Metro and social media data on Twitter. Our system provides multiple coordinated views to visually, intuitively, and simultaneously explore changes in passengers' behavior and abnormal situations extracted from smart card data and situational explanations from real voices of passengers such as complaints about services extracted from social media data. We demonstrate the possibilities and usefulness of our novel visualization environment using a series of real data case studies about various kinds of events. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BigData.2014.7004260 | BigData Conference |
Keywords | Field | DocType |
Big Data,data analysis,data visualisation,smart cards,social networking (online),traffic information systems,Tokyo Metro,Tweets data analysis,abnormal situations,metro passengers,public gatherings,situational explanations,smart card data,social media analysis,social media data,traffic analysis,traffic data analysis,transportation systems,visual integration,visual mega-city big data fusion,visualization environment | Data mining,Traffic analysis,Social media,Computer science,Visualization,Smart card,Natural disaster,Situational ethics,Megacity,Big data | Conference |
ISSN | Citations | PageRank |
2639-1589 | 7 | 0.47 |
References | Authors | |
18 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Itoh, M. | 1 | 7 | 0.47 |
| Yokoyama, D. | 2 | 7 | 0.47 |
| Masashi Toyoda | 3 | 388 | 49.87 |
| Tomita, Y. | 4 | 23 | 3.28 |