A Study to Apply Crowd Sourcing Technology in Intelligent Transportation System (Case Study: Jeju City, South Korea)
Document Type
Article
Publication Date
2014
Abstract
The introduction of crowd sourcing techniques requires changes in the existing Intelligent Transportation System (ITS) which is based on in sourcing, providing traffic information generated by detectors through the Variable Message Signs (VMS). High cost and interrupted services are two common problems with ITS. Experts expect crowd sourcing techniques, which are created by Social Networking Service (SNS), will overcome problems of ITS. Crowd sourcing technique was utilized in the Jeju Advanced Traffic Management System (ATMS) project to install ITS on the coastal roads around Jeju city. Installation of the point detectors turned out to be a non-economic method on coastal roads with low traffic volume. However, there existed areas in which traffic information couldn’t be generated due to the limited Smartphone users. Cost effective crowd sourcing techniques indicate the fact that the crowd sourcing technique is more suitable for urban roads with many Smartphone users.
Publication Title
Journal of Emerging Trends in Computing and Information Sciences
Volume
5
Issue
12
First Page
908
Last Page
913
ISSN
2079-8407
Citation Information
Kim, J., Park, B., Moon, B., Ariaratnam, S.T., Koo, D.D. (2014) A Study to Apply Crowdsourcing Technology in ITS (Case Study: Jeju City, South Korea). Journal of Emerging Trends in Computing and Information Sciences, 5 (12), 5-12.