As the automotive industry continues to evolve, we can expect to see significant advancements in V2X communication, V2L technology, and ML applications. With LINK-39 leading the charge, we can expect to see:
Vehicle-to-Infrastructure (V2I) communication is critical for connected and autonomous vehicles. Link 39—a high-density urban corridor—experiences variable latency and packet loss. This report evaluates the application of Machine Learning (ML) models to predict link quality and optimize handovers. V2l Ml --39-LINK--39-
Imagine you park your EV at a remote campsite. You plug in a heater, lights, and a coffee maker. An ML-enabled V2L system: As the automotive industry continues to evolve, we
: ML is critical for beam-selection in 5G networks, ensuring a stable connection even when vehicles move at high speeds (up to 35 m/s). This report evaluates the application of Machine Learning
Vehicle-to-Load (V2L) technology enables electric vehicles (EVs) to act as mobile power sources, providing high-quality AC electricity (typically via pure sine wave inverters) to external devices.