The AI in Transportation and Smart Mobility course in London is designed to help professionals in the transport industry leverage AI technologies to enhance mobility solutions, optimize traffic flow, and drive sustainable transportation innovations.
From:
15-06-2026
From:
20-07-2026
From:
21-09-2026
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 London provide professionals with a forward-looking understanding of how artificial intelligence is transforming modern transport systems and shaping the future of urban mobility. These programs are designed for engineers, planners, policymakers, technology specialists, and mobility professionals seeking to harness AI-driven solutions that enhance efficiency, safety, sustainability, and user experience across transportation networks. Participants explore the integration of AI technologies into public transit, logistics, autonomous systems, and smart city infrastructure.
The courses examine key topics such as machine learning applications in traffic management, predictive analytics for demand forecasting, autonomous vehicle technologies, real-time route optimization, and intelligent mobility platforms. Through practical case studies and scenario-based exercises, participants learn how AI enhances operational decision-making, improves road safety, and supports the development of multimodal mobility ecosystems. Emphasis is placed on data governance, cybersecurity considerations, and the ethical dimensions of deploying AI in public transportation systems.
These AI and smart mobility training programs in London combine technical insights with strategic urban planning perspectives. Participants gain hands-on exposure to digital tools used in modeling, simulation, and mobility-as-a-service (MaaS) platforms, enabling them to design transportation solutions that are both innovative and resilient. The curriculum highlights best practices for integrating AI within smart infrastructure, optimizing fleet performance, and enabling sustainable mobility through electrification and shared transport models.
Attending these training courses in London offers significant value, as the city is a global leader in smart mobility initiatives, advanced transportation research, and digital innovation. The diverse urban landscape provides a real-world laboratory for understanding AI-enabled mobility transformation. Upon completion, participants will be equipped with the technical knowledge, strategic insight, and practical tools required to lead AI-driven mobility projects—supporting safer, cleaner, and more efficient transportation systems for the future.