Crowd estimation at a social event using call data records Online publication date: Sun, 20-May-2018
by V.P. Sumathi; Kittusamy Kousalya; V. Vanitha; J. Cynthia
International Journal of Business Information Systems (IJBIS), Vol. 28, No. 2, 2018
Abstract: Segregating attendees of the event from other regular visitor, paves way for new applications such as measuring event success and outdoor advertising. Traditional methods of crowd estimation at points of interests such as shopping malls, cinema halls, stadium and exhibitions using sample analysis of visitor through participant count obtained by number of tickets sold. In unstructured (free-to-view) event, the above said method does not help in accurate crowd estimation and social analysis. The objective of this paper is using call data records to estimate the crowd at an unstructured event in a city. The study was conducted at Indian Institute of Science (IISc) campus, Bengaluru on a special event day. To avoid breach of privacy, anonymised call data records have been used. The crowd estimated using call data records shows positive correlation with ground truth-value.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Information Systems (IJBIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com