Citation

Lim, Cheng Yang and Selvaretnam, Bhawani and Poo, Kuan Hoong and Tan, Ian Kim Teck and Ewe, Kok Howg and Lau, Heng Ka (2016) Exploration of road traffic tweets for congestion monitoring. Journal of Telecommunication, Electronic and Computer Engineering, 8 (2). pp. 141-145. ISSN 2180-1843, eISSN: 2289-8131

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Abstract

Online social network services such as Twitter and Facebook have gained popularity in recent years with continuous increase of users. This is especially true for Twitter, a popular micro-blogging service that enables users to send tweets which contain valuable data in real-time. Real-time tweets information can be used in many areas and one of the least explored areas is crowdsourcing of road traffic conditions. We have found that not many people tweet about traffic conditions; however, there are formal sources that keep their accounts updated with the latest traffic info. In this paper, we present an analysis of tweets that are related to the traffic conditions in Malaysia. Detailed analysis was conducted to understand the structures and the nature of the traffic tweets. Based on our analysis, we found that the real-time nature of the tweets is useful in reporting road traffic conditions and such information will be useful to the road-users.

Item Type:	Article
Uncontrolled Keywords:	Road traffic, Twitter, Natural language processing;, Data mining
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	14 Jul 2020 09:39
Last Modified:	14 Jul 2020 09:39
URII:	http://shdl.mmu.edu.my/id/eprint/6776

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