We experiment with innovative smart mobility solutions by developing simulation platforms, AI algorithms, and V2X technologies to create new mobility models and smart cities.
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The Smart Mobility Lab at Reply, located in Area42, is where we develop AI algorithms that serve as key enablers to accelerate development and ensure the safety of next-generation mobility.
Mobility is evolving towards a landscape of intelligent connected vehicles, capable of communicating with cloud technologies and leveraging vehicle data to address numerous use cases, enhancing the driver experience.
With this in mind, the Smart Mobility Lab develops AI techniques and edge platforms that can be integrated into vehicles through a driving simulator. The simulator provides realistic vehicle responses to driver inputs and simulated environmental conditions, generating valuable data for training and validating AI algorithms. By implementing vehicle-to-everything (V2X) communication protocols, road safety is enhanced, allowing vehicles to share potential failures or their respective positions to prevent collisions.
Some of the key topics addressed in this lab include improving road safety, reducing emissions, and optimizing mission efficiency.
In addition to implementing artificial intelligence algorithms directly on vehicles, our experts are working on the development of V2X algorithms that enable Vehicle-to-Vehicle (V2V) communication. This allows vehicles to share their position and report potential failures, helping to prevent collisions even when they are not in line of sight.
TECHNOLOGIES
AI on EDGE
Reinforcement Learning
Real-time Simulation
ADAS Application
Battery Management System
V2X