The AI in Transportation and Smart Mobility in Brussels is a forward-looking training program tailored for transportation professionals, urban planners, and technology leaders who want to leverage AI to optimize mobility, safety, and sustainability.
From:
06-04-2026
From:
03-08-2026
Course Overview
Artificial Intelligence is driving the future of smart mobility and intelligent transportation systems. This AI in Transportation and Smart Mobility Training Course introduces participants to applications of AI in traffic management, logistics optimization, autonomous vehicles, and urban mobility solutions.
Participants will analyze case studies from smart cities and global transport networks, exploring how AI improves safety, efficiency, and sustainability. Through practical exercises and scenario planning, they will gain the tools to apply AI in real-world transportation projects.
By the end of the course, attendees will understand how to design, implement, and manage AI-powered mobility strategies that address the challenges of congestion, emissions, and growing urbanization.
Course Benefits
Understand AI’s role in smart mobility and transport innovation
Apply analytics to optimize logistics and fleet management
Explore AI in traffic control and intelligent transport systems
Assess opportunities and risks of autonomous mobility
Build strategies for sustainable, AI-driven transportation
Course Objectives
Explore AI applications in transportation and urban mobility
Use analytics for logistics, routing, and fleet optimization
Apply AI in traffic prediction and congestion management
Understand autonomous vehicle technologies and challenges
Evaluate AI-enabled smart city transportation initiatives
Address ethical, safety, and regulatory aspects of mobility AI
Build strategies for sustainable and intelligent transport
Training Methodology
The course combines expert-led lectures, global mobility case studies, simulations, and group activities. Participants will work with urban and logistics datasets to apply AI to transportation challenges.
Target Audience
Transportation and mobility planners
Smart city and urban development leaders
Logistics and fleet management professionals
Policy-makers in transport and infrastructure
Target Competencies
AI in mobility and transportation systems
Logistics and traffic optimization
Autonomous and connected vehicle strategy
Sustainable smart mobility leadership
Course Outline
Unit 1: AI and the Future of Transportation
Global trends in smart mobility
AI’s role in transforming transport networks
Benefits and risks of AI adoption in mobility
Case studies of intelligent transport systems
Unit 2: AI for Logistics and Fleet Optimization
Route planning with AI analytics
Reducing fuel costs and emissions with AI
Real-time fleet monitoring and predictive insights
Logistics efficiency through automation
Unit 3: Traffic Prediction and Congestion Management
Using AI for real-time traffic prediction
Smart traffic lights and adaptive systems
Reducing congestion with AI-driven strategies
Case studies from smart cities
Unit 4: Autonomous and Connected Vehicles
AI in self-driving car technology
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems
Safety and ethical considerations in autonomy
Global developments in autonomous mobility
Unit 5: Building Sustainable Smart Mobility Strategies
Integrating AI into public transport systems
Policy frameworks for smart mobility adoption
Managing risks and ensuring compliance
Creating sustainable, people-centered transport solutions
Ready to drive the future of smart mobility?
Join the AI in Transportation and Smart Mobility Training Course with EuroQuest International Training and lead innovation in transportation systems.
The AI in Transportation and Smart Mobility Training Courses in Brussels provide professionals with the knowledge and practical skills to leverage artificial intelligence for optimizing urban transportation systems, improving mobility services, and enhancing operational efficiency. Designed for transportation planners, mobility managers, data analysts, and smart city professionals, these programs focus on integrating AI technologies to create safer, more efficient, and sustainable mobility solutions.
Participants gain a comprehensive understanding of AI applications in transportation, including traffic prediction, route optimization, autonomous vehicle integration, demand forecasting, and smart infrastructure management. The courses emphasize practical strategies for analyzing transportation data, predicting congestion patterns, and developing AI-driven solutions that improve traffic flow, reduce emissions, and enhance commuter experiences. Through case studies, simulations, and hands-on exercises, attendees learn to implement intelligent mobility systems, monitor performance, and optimize operations across urban transport networks.
These smart mobility and AI training programs in Brussels combine technical expertise with strategic urban planning perspectives, ensuring participants can align AI initiatives with regulatory frameworks, sustainability goals, and city-wide mobility strategies. Key topics include connected vehicles, public transportation analytics, IoT-enabled infrastructure, predictive maintenance, and cybersecurity considerations for intelligent transport systems. Participants also explore methods to integrate AI-driven insights into decision-making processes for long-term mobility planning and policy development.
Attending these training courses in Brussels offers professionals the opportunity to engage with international experts and peers from diverse sectors, gaining exposure to global best practices in AI-enabled transportation and smart mobility. The city’s position as a European hub for transport innovation, policy, and technology provides an ideal environment for exploring emerging trends and advanced mobility solutions. By completing this specialization, participants will be equipped to implement AI-driven transport strategies, enhance operational efficiency, and foster sustainable, intelligent mobility systems—ensuring safer, smarter, and more resilient urban transportation networks in today’s rapidly evolving mobility landscape.