A Study to Apply Crowd Sourcing Technology in Intelligent Transportation System (Case Study: Jeju City, South Korea)

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.