Author Type

Graduate Student

Date of Award

2016

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Mahgoub, Imad

Abstract

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.

Extent

92 p.

Comments

Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2016.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.

Identifier

FA00004720

Format

pdf

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