Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2016
EDTF Date Created
2016
Description
In this thesis we extend the VANET-based approach to counting vehicles at a traffic
light by implementing a Geo-fence Based Vehicle Counting Algorithm which supports the
use of RFID technology. This implementation utilizes the concept of geo-fencing to create
a Zone of Interest (ZOI) that sections off a roadway that is relevant to a traffic intersection.
All vehicles in this ZOI are used to determine the required length of the green-cycle time.
By utilizing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, we
broadcast beacons that are propagated to all vehicles in the ZOI from the infrastructure
which in this case is the traffic light controller.
These beacons are used to determine the last vehicle location in the ZOI. A timing
algorithm ensures that the last vehicle broadcasts first. The beacons are sent using the
IEEE 1609.4 Wireless Access in Vehicular Environments Standard Vendor Specific Action
(VSA) frames on the Smart Drive Initiative Vehiclular Ad Hoc Networks testbed. This
work is implemented in conjunction with the Vehicular Multi-technology Communication
Device (VMCD) supported by the National Science Foundation.
light by implementing a Geo-fence Based Vehicle Counting Algorithm which supports the
use of RFID technology. This implementation utilizes the concept of geo-fencing to create
a Zone of Interest (ZOI) that sections off a roadway that is relevant to a traffic intersection.
All vehicles in this ZOI are used to determine the required length of the green-cycle time.
By utilizing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, we
broadcast beacons that are propagated to all vehicles in the ZOI from the infrastructure
which in this case is the traffic light controller.
These beacons are used to determine the last vehicle location in the ZOI. A timing
algorithm ensures that the last vehicle broadcasts first. The beacons are sent using the
IEEE 1609.4 Wireless Access in Vehicular Environments Standard Vendor Specific Action
(VSA) frames on the Smart Drive Initiative Vehiclular Ad Hoc Networks testbed. This
work is implemented in conjunction with the Vehicular Multi-technology Communication
Device (VMCD) supported by the National Science Foundation.
Language
Type
Form
Extent
92 p.
Subject (Topical)
Identifier
FA00004720
Additional Information
Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2016.
FAU Electronic Theses and Dissertations Collection
Date Backup
2016
Date Created Backup
2016
Date Text
2016
Date Created (EDTF)
2016
Date Issued (EDTF)
2016
Extension
FAU
IID
FA00004720
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Edwards, Alain D.
author
Graduate College
Physical Description
application/pdf
92 p.
Title Plain
Implementation of a VANET Geo-Fence Based Adaptive Traffic Light Control Scheme
Use and Reproduction
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2016
2016
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Implementation of a VANET Geo-Fence Based Adaptive Traffic Light Control Scheme
Other Title Info
Implementation of a VANET Geo-Fence Based Adaptive Traffic Light Control Scheme