Traffic light Optimization System
Advisor: Jacob Schrum, Assistant Professor of Computer Science
Using multiple sensors, we plan to develop a product that allows for greater flow of
traffic in comparison to traditional stop lights that run on timers. By integrating capabilities one at a time we hope to maintain steady development of our prototype. Ultimately, this will help save people time on commuting and help cities maintain cleaner air by reducing pollution. In the future we will be able to build off this in order to develop a network of devices to work together in order to plan on a greater scale how to best handle and direct different levels of traffic. Ultimately the idea would be to have a large system of these in place so that they could talk with one another, compounding and increasing the improvement in efficiency we plan on seeing.