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20 June 2024
Reseach Article

Real Time Traffic Detection using Semantic Analysis

by Semil Jain, Riya Singh
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 25
Year of Publication: 2021
Authors: Semil Jain, Riya Singh

Semil Jain, Riya Singh . Real Time Traffic Detection using Semantic Analysis. International Journal of Computer Applications. 183, 25 ( Sep 2021), 1-5. DOI=10.5120/ijca2021921640

@article{ 10.5120/ijca2021921640,
author = { Semil Jain, Riya Singh },
title = { Real Time Traffic Detection using Semantic Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2021 },
volume = { 183 },
number = { 25 },
month = { Sep },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2021921640 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:17:50.324126+05:30
%A Semil Jain
%A Riya Singh
%T Real Time Traffic Detection using Semantic Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 25
%P 1-5
%D 2021
%I Foundation of Computer Science (FCS), NY, USA

Social networks have recently come across as a great source of information for detecting congestion, accidents, as well as crowding due to numerous festivals. Twitter is one of the most popular sites because it expresses knowledgeable information in minimum words. Since the tweets have limited words, processing it becomes easy. Hence, This project uses Twitter as a source of information. This project focuses on classifying whether a tweet is a traffic related tweet or not using Semantic technologies. In this project, the system fetches the tweets using the Twitter Api and then pre-process it, converting into tokens and cleaning all noise. These tokens are then semantically processed and classification is performed using Na¨ıve Bayes multinomial classifier. Different types of tweets data are used for prediction, including tweets from selected road-traffic Twitter accounts, tweets that contain road-trafficrelated keywords and geo-tagged tweets. These classified results are then plotted as a colored path on the android application. Such information can help the traveler to make a better travel plan.

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  2. Fatma Amin Elsafoury Enschede, The Netherlands, “Monitoring Urban Traffic Status Using Twitter Messages ” , 28376
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  5. Fellbaum, Christiane, ‘WordNet — A Lexical Database for English’, 2005. [Online]. Available: [Accessed: 21- Oct- 2018].
Index Terms

Computer Science
Information Sciences


Semantic Analysis geo-tagged tweets Na¨ıve Bayes multinomial classifier Tokenization Stop-word filtering Stemming Stem filtering Feature representation