Location-based vehicular moving predictions for wireless communication
by Hsin-Te Wu; Wen-Shyong Hsieh
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 10, No. 4, 2012

Abstract: In cellular networks, an important practical issue is how to ensure high-quality service. We assume all Base Stations (BSs) have a Geographic Information System (GIS) that has a street map with all BSs and all vehicles have a Global Positioning System (GPS), which acquires data for vehicle speed, direction, and location and sends this information to the nearest BS periodically when communicating within the BS. Based on this vehicle information, a BS checks whether an intersection has a traffic light, determines the traffic light pattern, predicts where vehicles may move, determines whether vehicles may move into another region, and informs the BS to reserve resources for a hand-off. Based on GPS and GIS information, the proposed method, TSDMP, has a lower prediction error rate in predicting traffic light patterns and vehicle movements than other techniques.

Online publication date: Wed, 12-Sep-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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