The AI in Transportation and Smart Mobility course in Budapest is designed to help professionals apply AI to optimize transportation systems and develop smarter mobility solutions.
From:
09-02-2026
From:
22-06-2026
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 Budapest provide professionals with the knowledge and tools to apply artificial intelligence and data-driven strategies to modern transportation systems and mobility solutions. Designed for urban planners, transportation engineers, public sector specialists, mobility service providers, and technology leaders, these programs explore how AI can enhance mobility efficiency, sustainability, safety, and user experience across urban and regional environments.
Participants gain a comprehensive understanding of smart mobility frameworks, including intelligent traffic management, autonomous and connected vehicle systems, real-time mobility data analytics, and predictive transport modeling. The courses emphasize how machine learning, sensor data, and integrated digital platforms can improve route optimization, fleet coordination, congestion reduction, and multimodal travel planning. Through case studies and applied learning exercises, attendees learn to evaluate mobility challenges, interpret transportation data trends, and design AI-enabled solutions that support seamless, reliable, and equitable mobility services.
These AI and smart mobility training programs in Budapest also address strategic considerations such as regulatory planning, digital infrastructure readiness, cybersecurity risks, and cross-sector collaboration. Participants gain insight into how public and private stakeholders can work together to deploy integrated mobility ecosystems, pilot AI-enabled transport technologies, and develop long-term strategies that align with sustainability and urban innovation goals.
Attending these training courses in Budapest offers a collaborative setting enriched by the city’s growing focus on smart city development and digital innovation. Participants engage with experts and peers from various industries, gaining global perspectives on emerging mobility trends and best practices.
By the end of the program, participants will be equipped to design, assess, and implement AI-driven mobility solutions that improve transport efficiency, enhance user accessibility, and support sustainable urban growth. They will be prepared to contribute to the future of intelligent, connected, and adaptive mobility systems in an ever-evolving transportation landscape.