Cart (Loading....) | Create Account
Close category search window

Data Modeling and Optimization for Wireless Drive-Through Applications

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
$31 $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

6 Author(s)
Zhe Xu ; Dept. of Comput. & Inf. Sci., Univ. of Michigan-Dearborn, Dearborn, MI, USA ; Qiang Zhu ; Yi Guo ; Giuli, T.J.
more authors

The increasing capabilities and decreasing cost of information and communication technologies (ICTs) are enabling new categories of vehicular telematics applications, such as wireless drive-through (WDT) services, in which an external service provider provides services to in-vehicle occupants via a wireless connection. Most telematics systems rely on proprietary protocols for data exchange between an in-vehicle client and its external counterpart in individual applications, making it difficult to share data-exchange methods among applications. Sharing data-exchange methods is important because it allows a rapid return on ICT investments. In this paper, we study the data-modeling issues for data exchange between an in-vehicle client and its service provider for WDT services. We present a novel data model that captures the main characteristics of data exchange for the WDT application family, using a formal mathematical representation and an intuitive graphical representation. We show that the proposed data model provides generality for such data exchange. In addition, we propose several optimization techniques based on the data model to minimize user interaction so that a good usability can be achieved. Our simulations and analysis demonstrate that the proposed data model and relevant optimization techniques are promising in supporting efficient WDT applications.

Published in:

Intelligent Transportation Systems, IEEE Transactions on  (Volume:12 ,  Issue: 4 )

Date of Publication:

Dec. 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.