|
Abstract
|
The flow of information on Twitter holds a wealth of information that can be extracted for specific uses. This study attempted to extract road traffic information from Twitter timelines for real time mapping. Given the worsening traffic conditions in Jakarta, a real time map of traffic information could be very beneficial for motorists as they deal with everyday road conditions. With the virtually indeterminate sources of data on Twitter, we proposed an algorithm to measure the traffic information confidence level for the real time traffic mapping system. Based on the test results of this study, the system could be used to serve its intended purpose.
NOTICE:
Further to an investigation the International Conference on Advances Science and Contemporary Engineering 2012, Procedia Engineering, Volume 50, has been removed by the publisher due to insufficient assurances by the programme organisers that the professional ethical codes of publishing and standards were applied consistently.
Where the copyright in individual papers was transferred to the publisher, these transfers are now considered null and void, and revert back to the authors.
Nonetheless this paper is available online at:
https://www.researchgate.net/publication/232906167_Harvesting_Real_Time_Traffic_Information_from_Twitter
SafetyLit note: We believe that the inclusion of references in this case falls under fair use. Why? 1) This article was published as open access and the journal and copyright owner is acknowledged; 2) a link to full text is provided; 3) reproduction of this reference list is relevant to a commentary on what is and is not original thought and 4) the items in this reference list are part of the data upon which an investigation are based.
References
[1] Triyono H. Pertumbuhan Kendaraan di Jakarta Capai 1.172 per Hari. Available: http://www.tempointeraktif.com/hg/layanan_publik/2010/07/28/brk,20100728-267039,id.html, 2010.
[2] Kusumaputra R.A. Wow! Kerugian akibat Kemacetan di Jakarta Rp 28 Triliun Setahun. Available: http://megapolitan.kompas.com/read/2009/09/10/14592832/wow.kerugian.akibat.kemacetan.di.jakarta.rp.28.triliun.setahun, 2009.
[3] Kumar P., Singh V., and Reddy D., Advanced Traveler Information System for Hyderabad City, IEEE Trans. Intell. Transp. Syst., vol. 6, no. 1, March, 2005.
[4] Ezell S. Explaining International IT Application Leadership: Intelligent Transportation Systems. Report of The Information Technology and Innovation Foundation (ITIF). Available: www.itif.org/files/2010-1-27-ITS_Leadership.pdf, 2010.
[5] IEEE-USA Board of Directors. U.S. Economic Competitiveness and Intelligent Transportation Systems Technology. Available: www.ieeeusa.org/policy/positions/ITS.pdf, 2010.
[6] Wu C. H., Su D. C., Chang J., Wei C.C., Ho J.M., Lin K.J., and Lee D.T. An Advanced Traveler Information System with Emerging Network Technologies, In the Proceedings of the 6th Asia-Pacific Intelligent Transportation Systems Forum, 2003.
[7] Lotan G., Graeff E., Ananny M., Gaffney D., Pearce I., and Boyd D., The Revolutions Were Tweeted: Information Flows During the 2011 Tunisian and Egyptian Revolutions, International Journal of Communication, vol. 5, 2011.
[8] A. Leavitt, E. Burchard, D. Fisher, S. Gilbert. The Influentials: New Approaches for Analyzing Influence on Twitter. Webecology Project. Available: http://www.webecologyproject.org/wp-content/uploads/2009/09/influence-report-final.pdf, 2009.
[9] B. Heil and M. piskorski. New Twitter Research: Men Follow Men and Nobody Tweets. Harvard Business School. Available: http://blogs.hbr.org/cs/2009/06/new_twitter_research_men_follo.html, 2009.
[10] H. Kwak, C. Lee, H. Park and S. Moon. What is Twitter, a Social Network or a News Media?, In the Proceedings of the International World Wide Web Conference, 2010.
[11] Wanichayapong N., Pruthipunyaskul W., Pattara-Atikom W., Chaovalit P. Social-based traffic information extraction and classification. In the Proceedings of the 11th International Conference on ITS Telecommunications, 2011.
[12] Endarnoto S.K., Pradipta S., Nugroho A.S., Purnama J. Traffic Condition Information Extraction & Visualization from Social Media Twitter for Android Mobile Application. In the Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, July 2011.
Keywords: Twitter-Traffic-Status |