research-article

Traffic observatory: a system to detect and locate traffic events and conditions using Twitter

Authors:

Sílvio S. Ribeiro, Jr.,

Clodoveu A. Davis, Jr.,

Diogo Rennó R. Oliveira,

Wagner Meira, Jr.,

Tatiana S. Gonçalves,

Gisele L. PappaAuthors Info & Claims

LBSN '12: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks

Pages 5 - 11

https://doi.org/10.1145/2442796.2442800

Published: 06 November 2012 Publication History

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Abstract

Twitter has become one of the most popular platforms for sharing user-generated content, which varies from ordinary conversations to information about recent events. Studies have already showed that the content of tweets has a high degree of correlation with what is going on in the real world. A type of event which is commonly talked about in Twitter is traffic. Aiming to help other drivers, many users tweet about current traffic conditions, and there are even user accounts specialized on the subject. With this in mind, this paper proposes a method to identify traffic events and conditions in Twitter, geocode them, and display them on the Web in real time. Preliminary results showed that the method is able to detect neighborhoods and thoroughfares with a precision that varies from 50 to 90%, depending on the number of places mentioned in the tweets.

References

[1]

R. O. Alencar and C. A. Davis Jr. Geotagging aided by topic detection with wikipedia. In S. Geertman, W. Reinhardt, F. Toppen, W. Cartwright, G. Gartner, L. Meng, and M. P. Peterson, editors, Advancing Geoinformation Science for a Changing World, volume 1 of Lecture Notes in Geoinformation and Cartography, pages 461--477. Springer Berlin Heidelberg, 2011.

Google Scholar

[2]

E. Amitay, N. Har'El, R. Sivan, and A. Soffer. Web-a-where: geotagging web content. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '04, pages 273--280, New York, NY, USA, 2004. ACM.

Digital Library

Google Scholar

[3]

N. Cardoso, M. J. Silva, and D. Santos. Handling implicit geographic evidence for geographic ir. In Proceedings of the 17th ACM conference on Information and knowledge management, CIKM '08, pages 1383--1384, New York, NY, USA, 2008. ACM.

Digital Library

Google Scholar

[4]

Z. Cheng, J. Caverlee, and K. Lee. You are where you tweet: a content-based approach to geo-locating twitter users. In Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pages 759--768, New York, NY, USA, 2010. ACM.

Digital Library

Google Scholar

[5]

B. Daniel. Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena. Number vol. 1. Igi Global, 2010.

Google Scholar

[6]

C. A. Davis Jr., G. L. Pappa, D. R. R. de Oliveira, and F. L. de Arcanjo. Inferring the location of twitter messages based on user relationships. T. GIS, 15(6):735--751, 2011.

Crossref

Google Scholar

[7]

T. M. Delboni, K. A. V. Borges, and A. H. F. Laender. Geographic web search based on positioning expressions. In Proceedings of the 2005 workshop on Geographic information retrieval, GIR '05, pages 61--64, New York, NY, USA, 2005. ACM.

Digital Library

Google Scholar

[8]

D. Goldberg, J. Wilson, and C. Knoblock. From text to geographic coordinates: the current state of geocoding. URISA Journal, 19(1):33--47, 2007.

Google Scholar

[9]

J. Gomide, A. Veloso, W. Meira Jr., F. Benevenuto, V. Almeida, F. Ferraz, and M. Teixeira. Dengue surveillance based on a computational model of spatio-temporal locality of twitter. In Proc. of the 3rd International Conference on Web Science, pages 1--8, 2011.

Digital Library

Google Scholar

[10]

I. M. Machado, R. O. de Alencar, R. de Oliveira Campos Jr., and C. A. Davis Jr. An ontological gazetteer and its application for place name disambiguation in text. J. Braz. Comp. Soc., 17(4):267--279, 2011.

Crossref

Google Scholar

[11]

A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. In ICWSM'10, pages 178--185, 2010.

Google Scholar

[12]

F. A. Twaroch, P. D. Smart, and C. B. Jones. Mining the web to detect place names. In Proceedings of the 2nd international workshop on Geographic information retrieval, GIR '08, pages 43--44, New York, NY, USA, 2008. ACM.

Digital Library

Google Scholar

Cited By

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Díez-Gutiérrez MBabri SDahl EMalmin O(2024)Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of NorwayEuropean Transport Research Review10.1186/s12544-024-00675-916:1Online publication date: 11-Sep-2024
https://doi.org/10.1186/s12544-024-00675-9
Stavros EGezon CSt. Denis LIglesias VZapata CByrne MCooper LCook MDoyle EStephens JTapia MTuff TThomas EMaxted SSen RBalch J(2023)Environmental Resilience Technology: Sustainable Solutions Using Value-Added Analytics in a Changing WorldApplied Sciences10.3390/app13191103413:19(11034)Online publication date: 7-Oct-2023
https://doi.org/10.3390/app131911034
Babbar SBedi J(2023)Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic managementNeural Computing and Applications10.1007/s00521-023-08767-835:26(19465-19479)Online publication date: 28-Jun-2023
https://doi.org/10.1007/s00521-023-08767-8
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Index Terms

Traffic observatory: a system to detect and locate traffic events and conditions using Twitter
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

LBSN '12: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks

November 2012

67 pages

ISBN:9781450316989

DOI:10.1145/2442796

Program Chairs:
Gabriel Ghinita
University of Massachusetts at Boston
,
Jennifer Neville
Purdue University
,
Shawn Newsam
University of California at Merced

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2012

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SIGSPATIAL

SIGSPATIAL'12: SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems

November 6, 2012

California, Redondo Beach

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Díez-Gutiérrez MBabri SDahl EMalmin O(2024)Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of NorwayEuropean Transport Research Review10.1186/s12544-024-00675-916:1Online publication date: 11-Sep-2024
https://doi.org/10.1186/s12544-024-00675-9
Stavros EGezon CSt. Denis LIglesias VZapata CByrne MCooper LCook MDoyle EStephens JTapia MTuff TThomas EMaxted SSen RBalch J(2023)Environmental Resilience Technology: Sustainable Solutions Using Value-Added Analytics in a Changing WorldApplied Sciences10.3390/app13191103413:19(11034)Online publication date: 7-Oct-2023
https://doi.org/10.3390/app131911034
Babbar SBedi J(2023)Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic managementNeural Computing and Applications10.1007/s00521-023-08767-835:26(19465-19479)Online publication date: 28-Jun-2023
https://doi.org/10.1007/s00521-023-08767-8
Rodriguez EFerreira NPoco J(2022)JamVis: exploration and visualization of traffic jamsThe European Physical Journal Special Topics10.1140/epjs/s11734-021-00424-2231:9(1673-1687)Online publication date: 27-Jan-2022
https://doi.org/10.1140/epjs/s11734-021-00424-2
Alam G(2022)Curating Datasets from GPS, Communication Technology and Social Media: Using Artificial Intelligence to Predict, Analyse and Manage Traffic System2022 2nd International Conference on Computing and Information Technology (ICCIT)10.1109/ICCIT52419.2022.9711646(293-297)Online publication date: 25-Jan-2022
https://doi.org/10.1109/ICCIT52419.2022.9711646
Graff MMoctezuma DMiranda-Jiménez STellez E(2022)A Python library for exploratory data analysis on twitter data based on tokens and aggregated origin–destination informationComputers & Geosciences10.1016/j.cageo.2021.105012159:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.cageo.2021.105012
Salazar-Carrillo JTorres-Ruiz MDavis CQuintero RMoreno-Ibarra MGuzmán G(2021)Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from TwitterSensors10.3390/s2109296421:9(2964)Online publication date: 23-Apr-2021
https://doi.org/10.3390/s21092964
Jonnalagadda JHashemi M(2021)A Deep Learning-based Traffic Event Detection From Social Media2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI51335.2021.00007(1-8)Online publication date: Aug-2021
https://doi.org/10.1109/IRI51335.2021.00007
Pereira ABraga Silva TSilva FCorreia LLoureiro A(2021)A Workflow to Detect Traffic Events Using Multiple Algorithms and Data Sources2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)10.1109/DCOSS52077.2021.00038(164-170)Online publication date: Jul-2021
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Tang THu G(2020)Detecting and Tracking Significant Events for Individuals on Twitter by Monitoring the Evolution of Twitter Followership NetworksInformation10.3390/info1109045011:9(450)Online publication date: 16-Sep-2020
https://doi.org/10.3390/info11090450
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Observatory of trends in software related microblogs

Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web

Rumor Gauge: Predicting the Veracity of Rumors on Twitter

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