This project explores the various aspects of real-time data analysis, and how it can be applied to a simple interface through which a user can access traffic information. This thesis involves the development of discrete-event simulation models of the traffic patterns on Interstate 4 (I-4) in Orlando. The information gathered from these patterns was used to create a simulated I-4 Web Map (containing virtual sensors). The simulation was exercised to develop and build an aggregator which reads, interprets and deciphers the information and feedback obtained from the I-4 Web Map. This information is then expressed in English words. These words, in turn, are communicated to the user by voice via a telephone. A prototype was built selecting a subsection of the simulated I-4 Web Map in Orlando. This is summarized in this thesis along with different guidelines necessary for expanding the system, the strength of the current leading-edge technologies, and a foundation to start exploring more sophisticated models.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:honorstheses1990-2015-1337 |
| Date | 01 January 2003 |
| Creators | Mennicke, Martin |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Source | HIM 1990-2015 |
Page generated in 0.0021 seconds