Twittraffic: Uma plataforma de monitoração, visualização e identificação de ocorrências no trânsito
Abstract
In the current context, the traffic is one of the most critical factors of urban mobility in cities. In this perspective, this paper proposes Twittraffic: a platform for monitoring, visualization and identification of traffic events. The platform enables the sharing of information on social networks like Twitter, so pervasive and collaborative. During the period from December 2012 to March 2013, data were collected (tweets) with content related to transit in the cities of Belo Horizonte, Rio de Janeiro and São Paulo. After the analysis and processing of data collected, it was possible to profile the traffic of the cities studied, identifying time, place (streets) and days of the week when there is more traffic events. The study showed results of collecting close to 90% confidence in the context of traffic, which demonstrates the efficiency of the operation of the platform.References
Aggarwal, C. C. and Abdelzaher, T. F. (2011). Integrating sensors and social networks. In Social Network Data Analytics, pages 379–412.
Albuquerque, F. C., Bacelar, F. C., Tapia, X. A. C., and Carvalho, M. T. M. (2012). Extrator de fatos relacionados ao tráfego. SBBD’12 Simpósio Brasileiro de Bancos de Dados, pages 169 – 176.
Baqer, M. (2009). S-sensors: Integrating physical world inputs with social networks using wireless sensor networks. In 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009, pages 213–218. IEEE Computer Society.
Chew, C. and Eysenbach, G. (2010). Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118.
Demirbas, M., Bayir, M. A., Akcora, C. G., Yilmaz, Y. S., and Ferhatosmanoglu, H. (2010). Crowd-sourced sensing and collaboration using twitter. In Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), WOWMOM ’10, pages 1–9, Washington, DC, USA. IEEE Computer Society.
Endarnoto, S. K., Pradipta, S., Nugroho, A. S., and Purnama, J. (2011). Trafc condition information extraction visualization from social media twitter for android mobile application. In Syaichu-Rohman, A., Hamdani, D., Akbar, S., Adiprawita, W., Razali, R., and Sahari, N., editors, ICEEI, pages 1–4. IEEE.
Gomide, J., Veloso, A., Jr., W. M., Almeida, V., Benevenuto, F., Ferraz, F., and Teixeira, M. (2011). Dengue surveillance based on a computational model of spatio-temporal locality of twitter. In ACM Web Science Conference (WebSci).
Kosala, R., Adi, E., and Steven (2012). Harvesting real time trafc information from twitter. Procedia Engineering, 50(0):1 – 11. International Conference on Advances Science and Contemporary Engineering 2012.
Rosi, A., Mamei, M., Zambonelli, F., Dobson, S., Stevenson, G., and Ye, J. (2011). Social sensors and pervasive services: Approaches and perspectives. In PerCom Workshops, pages 525–530.
Sakaki, T., Okazaki, M., and Matsuo, Y. (2010). Earthquake shakes twitter users: realtime event detection by social sensors. In Proceedings of the 19th international conference on World wide web, WWW ’10, pages 851–860, New York, NY, USA. ACM.
Tumasjan, A., Sprenger, T. O., Sandner, P. G., and Welpe, I. M. (2010). Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM’10, pages 1–1.
Albuquerque, F. C., Bacelar, F. C., Tapia, X. A. C., and Carvalho, M. T. M. (2012). Extrator de fatos relacionados ao tráfego. SBBD’12 Simpósio Brasileiro de Bancos de Dados, pages 169 – 176.
Baqer, M. (2009). S-sensors: Integrating physical world inputs with social networks using wireless sensor networks. In 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009, pages 213–218. IEEE Computer Society.
Chew, C. and Eysenbach, G. (2010). Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118.
Demirbas, M., Bayir, M. A., Akcora, C. G., Yilmaz, Y. S., and Ferhatosmanoglu, H. (2010). Crowd-sourced sensing and collaboration using twitter. In Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), WOWMOM ’10, pages 1–9, Washington, DC, USA. IEEE Computer Society.
Endarnoto, S. K., Pradipta, S., Nugroho, A. S., and Purnama, J. (2011). Trafc condition information extraction visualization from social media twitter for android mobile application. In Syaichu-Rohman, A., Hamdani, D., Akbar, S., Adiprawita, W., Razali, R., and Sahari, N., editors, ICEEI, pages 1–4. IEEE.
Gomide, J., Veloso, A., Jr., W. M., Almeida, V., Benevenuto, F., Ferraz, F., and Teixeira, M. (2011). Dengue surveillance based on a computational model of spatio-temporal locality of twitter. In ACM Web Science Conference (WebSci).
Kosala, R., Adi, E., and Steven (2012). Harvesting real time trafc information from twitter. Procedia Engineering, 50(0):1 – 11. International Conference on Advances Science and Contemporary Engineering 2012.
Rosi, A., Mamei, M., Zambonelli, F., Dobson, S., Stevenson, G., and Ye, J. (2011). Social sensors and pervasive services: Approaches and perspectives. In PerCom Workshops, pages 525–530.
Sakaki, T., Okazaki, M., and Matsuo, Y. (2010). Earthquake shakes twitter users: realtime event detection by social sensors. In Proceedings of the 19th international conference on World wide web, WWW ’10, pages 851–860, New York, NY, USA. ACM.
Tumasjan, A., Sprenger, T. O., Sandner, P. G., and Welpe, I. M. (2010). Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM’10, pages 1–1.
Published
2013-07-23
How to Cite
SCHMIDT, Lucas; FERREIRA, Jeferson; AMORIM, Vicente; OLIVEIRA, Ricardo; BENEVENUTO, Fabricio.
Twittraffic: Uma plataforma de monitoração, visualização e identificação de ocorrências no trânsito. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 40. , 2013, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 225-236.
ISSN 2595-6205.
