TRAFAN: Road traffic analysis using social media web pages

Akilesh, B and Kumar, Nagendra and Reddy, Bharath and Singh, Manish (2018) TRAFAN: Road traffic analysis using social media web pages. In: 10th International Conference on Communication Systems & Networks (COMSNETS), 3-7 January 2018, Bengaluru, India.

Full text not available from this repository. (Request a copy)

Abstract

In this paper, we present TRAFAN, a system to analyze traffic activities of various cities in India. Traffic information is publicly available on various social networking sites. We aim to analyze the transportation data moving through the most popular social networking site Facebook. We take the data from various Facebook traffic pages as input to our system. Our system performs three important functions: fast browsing through keyword search result, compare Facebook pages and get statistical summaries about the Facebook pages. Our system can assist the government organizations to know the most chaotic traffic issue in a city. Organizations can retrieve all the problems in a city related to a traffic issue. The system also allows to compare the severity of an issue across the cities. We perform our experiment on Facebook pages containing 21,000 posts and 0.5 million reactions. We show through experimental results that our system effectively analyzes the traffic activities of cities. We present the results using information visualization techniques to improve the usability of our proposed TRAFAN interface.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Singh, Manishhttp://orcid.org/0000-0001-5787-1833
Item Type: Conference or Workshop Item (Paper)
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 17 May 2019 05:38
Last Modified: 17 May 2019 05:38
URI: http://raiith.iith.ac.in/id/eprint/5217
Publisher URL: http://doi.org/10.1109/COMSNETS.2018.8328290
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 5217 Statistics for this ePrint Item