We are The UCLA Mobility Lab, dedicated to harnessing system theories and tools, such as artificial intelligence, control theory, robotics, machine learning, and optimization, to innovate and develop advanced mobility technologies and solutions for smart cities, particularly intelligent vehicular and transportation systems. We leverage the university environment and work with external partners to perform research and development and prepare future workforce for competitive advantage in the following areas:

  • Advanced vehicular technologies, vehicle automation, and electrification
  • Urban analytics for future mobility and smart cities
  • Resilient, secure, smart transportation and logistics infrastructure

“To pursue the discoveries and inventions for the better of humankind, to work on the frontiers of applied knowledge, and to communicate to the next generation the excitement of science.”

Teresa A. Sullivan

8th President, University of Virginia



Open Cooperative Driving Automation Framework

Smart Infrastructure

Infrastructure-enabled Sensing, Safety, and Automation


Mobility Analytics and Decision Sciences


Safety and Reliability of Autonomous Systems

Statement from the UCLA Mobility Lab Regarding LA Gondola Ridership Projection
The UCLA Mobility Lab is an engineering and technology lab dedicated to scientific research and innovation around mobility technologies. The lab’s data on projected transit ridership of a proposed Dodger Stadium gondola is preliminary in nature. More research would be necessary to draw conclusions about potential use of the gondola. The lab takes no view on whether the project should be built.
Jiaqi Ma
Director, UCLA Mobility Lab
Faculty Associate Director, UCLA Institute of Transportation Studies
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Hiring: Multiple Research Positions Available at the UCLA Mobility Lab

We are looking for multiple new team members (Ph.D. students, Post-doc researchers) to join the lab. The expected start date is between Winter 2022 and Fall 2022 (January 2022 – September 2022). Funding will be available, and the salary will be based on past experiences and qualifications. Selected candidates will work on the following areas: cooperative driving automation, cyber-physical transportation systems, transportation systems resilience, intelligent transportation systems, artificial intelligence and advanced computing applications in automated transportation. Specifically, the candidates may work with physical connected/automated vehicles to test various perception, planning, and control algorithms, or perform analysis, modeling, simulation, control, and deployment of future mobility systems.

Candidates with backgrounds in artificial intelligence, data science, robotics, and control theories are encouraged to contact Dr. Ma directly at jiaqima@ucla.edu. Strong computer programming skills (e.g., C++, Java, Python, with provable large project-level experiences, not at course/beginner level) are required.