Small and affordable platform for research and education in Connected, Cooperative and Automated Mobility

In the recent, massive effort has been put into research and education on connected, collaborative and automated mobility to improve road safety and the affordability of mobility. New data sets must be created to maintain and enhance the speed of innovations in the field. Therefore, a simple and affordable solution for data collection from mobility scenarios is crucial to future improvements in the field. This paper introduces the design of small and affordable platform for research and education in the field of connected, collaborative, and automated mobility. The solution provides real-time and historical data analysis in various mobility use cases. The solution offers efficient and reliable data capture, processing, and analysis, making it a valuable tool for research and education on smart mobility. The mobile interface allows for live data collection, while the desktop interface offers data visualization for historical data analysis. With its ability to capture data on traffic conditions, vehicle speed, network latency, and bandwidth, the smart mobility device provides valuable insights into mobility operations that can be used to optimize transportation efficiency.