The AI in Transportation and Smart Mobility in Istanbul is a specialized training course that helps professionals apply intelligent solutions to modern transport systems.
From:
16-02-2026
From:
18-05-2026
From:
27-07-2026
From:
28-09-2026
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 Istanbul provide professionals with a comprehensive understanding of how artificial intelligence is reshaping transportation systems, urban mobility, and logistics networks. Designed for transport planners, mobility managers, engineers, policymakers, and technology professionals, these programs focus on applying AI-driven solutions to enhance efficiency, safety, sustainability, and user experience across modern mobility ecosystems.
Participants explore the core applications of artificial intelligence in transportation, including traffic prediction, intelligent routing, demand forecasting, autonomous systems support, and real-time mobility analytics. The courses emphasize how data-driven models and machine learning algorithms enable smarter decision-making, optimize infrastructure utilization, and reduce congestion and emissions. Through applied case studies and scenario-based discussions, participants gain insight into integrating AI technologies within public transport systems, freight operations, and multimodal mobility platforms.
These AI and smart mobility training programs in Istanbul balance conceptual foundations with practical implementation. Participants develop skills in interpreting mobility data, assessing AI readiness, and evaluating technology-driven solutions that support connected and intelligent transport systems. The curriculum also highlights the importance of system integration, cybersecurity awareness, and cross-sector collaboration between transport authorities, private operators, and technology providers to ensure scalable and resilient mobility solutions.
Attending these training courses in Istanbul offers professionals a forward-looking learning experience in a city that bridges global transport corridors and innovation-driven urban development. Expert-led sessions and interactive discussions encourage the exchange of global best practices and emerging trends in smart mobility. By completing this specialization, participants will be equipped to leverage AI technologies effectively, support intelligent transportation strategies, and contribute to the development of safer, more efficient, and sustainable mobility systems—enhancing professional expertise and organizational impact in the evolving global transportation landscape.