Li Jin


Li Jin


Interdepartmental Program in Transportation
Graduate Student


Ph.D. Candidate in Transportation, Massachusetts Institute of Technology, Cambridge, MA.
Master of Science in Mechanical Engineering, Purdue University, West Lafayette, IN, 2012.
Bachelor of Engineering in Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2011.


My research area is resilient operation of transportation systems. My research is motivated by the prevalence of disturbances in transportation systems, such as crashes, adverse weather, and traffic signal malfunction. My modeling approach is to use stochastic processes to describe the occurrence and clearance of disturbances, and to use perturbed flow dynamics to characterize the congestion induced by disturbances. I am particularly interested in designing traffic management strategies that enable the system to survive disturbances. My works involve ideas from stochastic process, flow networks, and dynamic control.


Jin, L. (2012). "Design and evaluation of Continuous Descent Approach as a fuel-saving procedure," M.S. Thesis, Purdue University.

Jin, L, Cao, Y., & Sun, D. (2013). "Investigation of potential fuel savings due to continuous-descent approach." Journal of Aircraft 50.3: 807-816.

Jin, L. & Amin, S., (2014). "A piecewise-deterministic Markov model of freeway accidents," Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, CA.

Cao, Y., Jin, L., Nguyen, N. V. P., Landry, S., Sun, D., & Post, J. (2015). "Evaluation of fuel benefits depending on continuous descent approach procedures," Air Traffic Control Quarterly, vol.22, no.3, pp.1-25.

Jin, L. & Amin, S., "Analysis of a Stochastic Switched Model of Freeway Traffic Incidents," submitted to IEEE Transactions on Automatic Control.

Jin, L. & Amin, S., "Incident-Aware Flow Routing and Ramp Metering for Freeway Networks," submitted to HSCC 2016.


"Stochastic Hybrid Modeling of Flow Network Incidents,” FORCES All Hands Meeting in Oakland, CA, on June 16, 2014.

“A piecewise-deterministic Markov model of freeway accidents,” 53rd IEEE Conference on Decision and Control in Los Angeles, CA, on December 15, 2014.


Dynamic programming and optimal control

Dynamic systems and control

Logistical and transportation planning

Optimization methods

Discrete stochastic processes

Statistical learning and data mining

Additional Information: 

I was born in Nanjing, China. My hobbies are sports, history, and linguistics.