LINEAR-PATH LOCATION ESTIMATION AND DEVICE IDENTIFICATION
Information delivery to customers based on their location has emerged as an exciting area of development that offers the potential for expanded service offerings to customers and consequently increased revenue for telecommunications companies. The service that has an even better potential for revenue generation is one that anticipates arrival at a certain location and delivers information based on the customer’s profile. AT&T has established a relationship with the UALR Department of Systems Engineering to capitalize on this business opportunity by creating a new platform for service delivery.
During the past three years, several teams from the UALR Department of Systems Engineering investigated the feasibility of Directional Based Services. Two elements not previously addressed are location estimation and device identification. The UALR Department of Systems Engineering organized the multi-disciplinary ’06 Capstone Project Team to further develop eViator.
Through combined backgrounds in both computer systems and telecommunications, we researched current technologies, determined the best method of implementation, and created a system designed for ease of integration that delivers the vital elements of eViator.
Our project concentrates on the following elements:
- Location Estimation
- Device Identification
- Speed Estimation
- Pre-Planned versus On-Demand Services
We developed a suite of platform-independent, software-based algorithms that addressed these elements. Our outcome was verified through modeling and simulation techniques. The completed project demonstrates the heart of the eViator system.
