The future of transportation is being reshaped by the convergence of AI, IoT, and autonomous technologies. Smart Mobility and Autonomous Systems focus on developing intelligent, connected, and sustainable transport solutions—from self-driving cars to smart traffic networks. Understanding these systems equips you to lead innovations in autonomous vehicles, mobility-as-a-service (MaaS), and intelligent infrastructure.
Learning this helps you:
Understand the ecosystem of connected, data-driven transportation systems
Integrate AI, IoT, and automation to optimize mobility solutions
Evaluate ethical, safety, and regulatory aspects of autonomy in transport
Contribute to sustainable, efficient, and human-centric mobility design
Autonomous Vehicles (AVs) – AI-driven systems enabling self-driving functionality, perception, and navigation
Vehicle-to-Everything (V2X) Communication – Real-time data exchange between vehicles, infrastructure, and users for safer, smarter roads
IoT & Sensor Fusion – Integration of sensors and IoT devices for environment perception and decision-making
Smart Traffic Management – Data analytics and AI for congestion control, route optimization, and urban mobility efficiency
Safety, Security & Ethics – Frameworks ensuring reliability, transparency, and accountability in autonomous systems
Design and develop intelligent mobility systems and autonomous platforms
Implement data-driven solutions for connected vehicles and cities
Innovate sustainable transportation strategies powered by AI and IoT
Optimize logistics, fleet management, and urban planning using autonomous technologies
Lead research and policy development for future-ready mobility ecosystems
5 Subjects
4 Learning Materials
5 Learning Materials
5 Learning Materials
5 Learning Materials
4 Learning Materials
15 Courses • 10 Students
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