Transportation
Transportation

Transportation

Artificial Intelligence Automobiles Batteries Cleaner industry Electric vehicles Energy Energy storage Industry MIT Energy Initiative Special events and guest speakers Supply chains Transportation

Driving American battery innovation forward

At MITEI’s Fall Colloquium, General Motors’ battery development expert emphasized how affordability, accessibility, and commercialization can position the US as a leader in battery tech.

Artificial Intelligence Batteries Carbon dioxide chemistry Cleaner industry Climate change Collaboration DMSE Electric grid Energy Energy storage Faculty Government Infrastructure Innovation and Entrepreneurship (I&E) Mechanical engineering MIT Energy Initiative Policy Renewable energy School of Engineering School of Science Special events and guest speakers Startups Students Sustainability The Engine Transportation

MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Industry leaders agree collaboration is key to advancing critical technologies.

Algorithms Artificial Intelligence Autonomous vehicles Cities Civil and environmental engineering Climate change Computer modeling Computer science and technology Electrical engineering and computer science (EECS) Emissions IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Transportation

Eco-driving measures could significantly reduce vehicle emissions

New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.

AgeLab Artificial Intelligence Automobiles Autonomous vehicles Center for Transportation and Logistics Collaboration Data Design Electric vehicles Industry Safety School of Engineering Special events and guest speakers Sustainability Technology and policy Transportation

Celebrating an academic-industry collaboration to advance vehicle technology

MIT Advanced Vehicle Technology Consortium marks a decade of developing data that improve understanding of how drivers use and respond to increasingly sophisticated automotive features.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Data Electric grid machine learning MIT Schwarzman College of Computing NASA Networks Research School of Engineering Software Transportation

Learning how to predict rare kinds of failures

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Algorithms Artificial Intelligence Autonomous vehicles Civil and environmental engineering Computer science and technology Data Emissions IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Traffic management Transportation

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

Artificial Intelligence Civil and environmental engineering Climate change Collaboration Emissions IDSS International initiatives Mechanical engineering MIT Schwarzman College of Computing MIT Sea Grant Nuclear science and engineering Oceanography and ocean engineering Research School of Engineering Supply chains Technology and policy Transportation

MIT Maritime Consortium sets sail

A new international collaboration unites MIT and maritime industry leaders to develop nuclear propulsion technologies, alternative fuels, data-powered strategies for operation, and more.

Algorithms Alumni/ae Artificial Intelligence Civil and environmental engineering Cleaner industry Climate change Computer science and technology Emissions Energy Graduate, postdoctoral IDSS machine learning Profile School of Engineering Students Sustainability Traffic management Transportation Undergraduate Research Opportunities Program (UROP)

Puzzling out climate change

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

AgeLab Artificial Intelligence Automobiles Autonomous vehicles Behavior Center for Transportation and Logistics Collaboration Data Industry Logistics Safety Transportation

Building an understanding of how drivers interact with emerging vehicle technologies

The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.

Algorithms Artificial Intelligence Business and management Center for Transportation and Logistics Interview machine learning MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab Research School of Engineering Staff Supply chains Transportation

3 Questions: Enhancing last-mile logistics with machine learning

MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.