By Topic

Simulation framework for travel trajectory generation and mobile transaction modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Eric Hsueh-Chan Lu ; Dept. of Computer Science and Information Engineering, National Cheng Kung University ; Josh Jia-Ching Ying ; Huan-Sheng Chen ; Kawuu W. Lin
more authors

In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discovering of various kinds of mobile patterns from various mobile databases. In which, one of popular research issues is mining of the travel trajectory patterns from mobile travel trajectory databases. Mining travel knowledge from travel trajectory data benefits for supporting of an intelligent travel recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation framework to generate mobile travel trajectory data based on the statistics and observations of real travel information. In the simulation model, we generate not only the travel trajectories for mobile users but also the mobile transactions for each arrived attraction according to the reasonable probability designs.

Published in:

Information Security and Intelligence Control (ISIC), 2012 International Conference on

Date of Conference:

14-16 Aug. 2012