| Full text | |
| Author(s): |
Martins, Tallys G.
[1]
;
Lago, Nelson
[1]
;
Santana, Eduardo F. Z.
[1]
;
Telea, Alexandru
[2]
;
Kon, Fabio
[1]
;
de Souza, Higor A.
[1]
Total Authors: 6
|
| Affiliation: | [1] Univ Sao Paulo, Dept Comp Sci, Sao Paulo - Brazil
[2] Univ Utrecht, Dept Informat & Comp Sci, Utrecht - Netherlands
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | JOURNAL OF INTERNET SERVICES AND APPLICATIONS; v. 12, n. 1 DEC 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
Internet-based technologies such as IoT, GPS-based systems, and cellular networks enable the collection of geolocated mobility data of millions of people in large metropolitan areas. In addition, large, public datasets are made available on the Internet by open government programs, providing ways for citizens, NGOs, scientists, and public managers to perform a multitude of data analysis with the goal of better understanding the city dynamics to provide means for evidence-based public policymaking. However, it is challenging to visualize huge amounts of data from mobility datasets. Plotting raw trajectories on a map often causes data occlusion, impairing the visual analysis. Displaying the multiple attributes that these trajectories come with is an even larger challenge. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. In this paper, we augment a recent bundling technique to support multi-attribute trail datasets for the visual analysis of urban mobility. Our case study is based on the travel survey from the Sao Paulo Metropolitan Area, which is one of the most intense traffic areas in the world. The results show that bundling helps the identification and analysis of various mobility patterns for different data attributes, such as peak hours, social strata, and transportation modes. (AU) | |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/24485-9 - Future internet for smart cities |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |