traffic transformers

**Abstract: Traffic Transformer: Analyzing Vehicle Count and Turning Patterns**

In the context of modern urbanization, efficient traffic management is a critical challenge faced by cities worldwide. The Traffic Transformer hackathon aims to address this issue by focusing on the analysis of vehicle count and turning patterns at busy intersections. Participants are tasked with developing innovative solutions that leverage data analytics, machine learning, and computer vision to accurately track the number of vehicles and identify their turning behaviors. The hackathon encourages the use of real-time data from traffic cameras or sensors to design systems that can optimize traffic flow, reduce congestion, and enhance road safety. By fostering creativity and technical prowess, Traffic Transformer seeks to contribute to the development of smarter and more sustainable cities through advanced traffic management solutions.