Resources

Autonomous Vehicles Car-following Behavior Data

Car-following behavior data in autonomous driving scenarios(https://doi.org/10.5281/zenodo.14995837). This dataset contains processed longitudinal car-following behavior data derived from the Waymo Open Dataset, specifically focusing on autonomous vehicle (AV) operations in stable traffic scenarios. The data captures interactions between leading vehicles (LVs) and following AVs (FAVs) to analyze stochastic car-following distances and speed regulation patterns.

Börgers, T. (2015). An introduction to the theory of mechanism design.

Börgers, T. (2015). An introduction to the theory of mechanism design. Oxford University Press, USA.

“Chicken Soup” for Ph.D students

“Chicken Soup” for Ph.D students: A useful resource for those navigating the challenges of a Ph.D.

Facchinei, F., & Pang, J. S. (2007). Finite-dimensional variational inequalities and complementarity problems.

Facchinei, F., & Pang, J. S. (2007). Finite-dimensional variational inequalities and complementarity problems. Springer Science & Business Media.

Freight Analysis Framework (version 4)

Freight Analysis Framework (version 4): Freight Analysis Framework Link

GitHub Transportation Networks

GitHub Transportation Networks: GitHub Link

Kahneman, D. (2011). Thinking, fast and slow.

Kahneman, D. (2011). Thinking, fast and slow. A must-read book on decision-making processes.

Check our group’s website: Lab for Innovative Mobility Systems!

Roughgarden, T. (2016). Twenty lectures on algorithmic game theory.

Roughgarden, T. (2016). Twenty lectures on algorithmic game theory. Cambridge University Press.

Shoham, Y., & Leyton-Brown, K. (2008). Multiagent systems: Algorithmic, game-theoretic, and logical foundations.

Shoham, Y., & Leyton-Brown, K. (2008). Multiagent systems: Algorithmic, game-theoretic, and logical foundations. Cambridge University Press.

A survival guide to a PhD

A survival guide to a Ph.D. — helps students navigate their academic journey.

Xiaotong Sun

Resources