AI and Sustainability: Transportation
Learn how AI and optimization are making transportation smarter, faster, and most importantly greener, whether it be by predicting where riders need to go to planning better routes and schedules.
Course Information
Certificate Track
About this Course
Discover how data science and artificial intelligence (AI) are changing the way we move people and goods. In this course, you'll learn how to find patterns in travel demand — like when and where people need rides, how bike-sharing gets used across a city, and what causes airport delays. You'll then see how those insights get turned into better decisions, like figuring out the most efficient routes, reducing flight delays, and planning transit systems that serve everyone fairly.
AI and Sustainability: Transportation is one of the industry-specific courses in Universal AI, a self-paced program designed to help you go from beginner to AI authority—no coding or technical skills required.
What you'll learn
- Learn how predictions about demand can feed directly into smarter planning and operational decisions
- Use AI tools to create realistic practice scenarios that help planners prepare for different transportation challenges
- Solve classic transportation problems, like finding the shortest delivery route or matching riders to drivers, using mathematical optimization models
- Understand the difference between long-term planning decisions, medium-term scheduling, and day-to-day operations in transportation
- Evaluate how modeling choices affect riders, system performance, cost, and the environment
Meet your instructors
Alexandre Jacquillat
Maurice F. Strong Career Development Associate Professor, Associate Professor of Operations Research and Statistics, MIT Sloan School of Management.
Alexandre Jacquillat’s research focuses on data-driven decision-making, spanning stochastic optimization, integer optimization, large-scale optimization, and machine learning. In particular, his research develops scalable optimization models and algorithms to support more efficient, equitable, and sustainable operations—with a particular interest in air traffic management, urban mobility, decarbonization, and other social good applications.
