The AI in Transportation and Smart Mobility course in Amsterdam is a specialized training course that equips professionals to apply AI solutions for smart, efficient, and sustainable transportation systems.
From:
02-03-2026
From:
22-06-2026
From:
12-10-2026
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 Amsterdam provide professionals with a comprehensive understanding of how artificial intelligence is reshaping modern mobility systems, transportation operations, and urban planning. Designed for transportation planners, mobility strategists, engineers, policy makers, data analysts, and innovation leaders, these programs explore the transformative role of AI in developing safer, more efficient, and sustainable mobility solutions. Participants gain practical insights into applying AI technologies to optimize transportation networks, enhance user experience, and support long-term smart city development.
The courses examine essential principles of AI-driven transportation and smart mobility, including predictive analytics, intelligent traffic management, autonomous systems, real-time monitoring, and mobility-as-a-service (MaaS) integration. Through case studies, simulation exercises, and hands-on demonstrations, participants learn how AI-powered tools improve operational efficiency, reduce congestion, support environmental goals, and strengthen public transportation performance. The curriculum highlights data-driven decision-making, sensor integration, and the fusion of AI algorithms with existing transportation infrastructures.
These smart mobility training programs in Amsterdam also address emerging innovations such as connected vehicles, digital twins for transportation planning, AI-enabled logistics, and adaptive mobility solutions. Participants develop competencies in evaluating technological readiness, managing data governance, assessing risks, and aligning AI initiatives with broader mobility strategies. The programs balance theoretical foundations with applied learning, enabling professionals to translate AI concepts into impactful mobility solutions.
Attending these training courses in Amsterdam provides participants with access to expert instructors and a thriving innovation ecosystem. As a leading hub for smart city development, Amsterdam offers a rich environment for exploring global trends, pilot projects, and cutting-edge mobility solutions. Upon completing this specialization, professionals are equipped to lead AI-driven mobility initiatives, optimize transportation systems, and contribute to the evolution of smart, sustainable, and user-centered mobility networks.