Li Jin's webpage

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Li Jin
jnl@mit.edu
PhD Candidate in Transportation, expected to graduate in 2018
Massachusetts Institute of Technology
77 Massachusetts Ave., Rm. 1-253C., Cambridge, MA 02139

Education

Research area

My research is concerned with resilient operations of increasingly automated transportation systems with efficiency and safety guarantees. I have developed a framework under which the macroscopic impact of a variety of cyber-physical disruptions can be evaluated. Based on this framework, I have considered design of resilient operations of transportation systems using modern sensing and controlling capabilities. Specific projects include

  • Highway traffic management under stochastic disruptions (joint work with Alexandr A. Kurzhanskiy)

  • Evaluation and design of vehicle platooning operations (joint work with Karl H. Johansson)

  • Cyber-physical disruptions of transportation networks (joint work with Patrick Jaillet)

More information about my research is available in my research statement and research presentation.

Publications

Working papers and preprints

  • Jin, L., Amin, S., & Jaillet, P., Stochastic Adversarial Disruptions and Response Operations in Dynamic Flow Networks, working paper

  • Jin, L., Kurzhanskiy, A., & Amin, S., Capacity-aware ramp control for highways with stochastic capacity disruptions, working paper

  • Jin, L., Cicic, M., Amin, S., & Johansson, K. H., Design of resilient vehicle platooning operations for highways with mixed traffic, working paper

  • Jin, L. & Amin, S., Stability and control of piecewise-deterministic queueing systems, arXiv preprint arXiv:1604.02008 (2016). pdf

Journal articles

  • Jin, L. & Amin, S., (2017) A traffic model with switched dynamics for freeway incident management, (conditionally) accepted by IEEE Transactions on Automatic Control. pdf

  • 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. pdf

  • Jin, L., Cao, Y., & Sun, D. (2013) Investigation of potential fuel savings due to continuous-descent approach, AIAA Journal of Aircraft, 50(3), 807-816. pdf

Conference papers

  • Jin, L., Cicic, M., Amin, S., & Johansson, K. H., (2018) “Modeling impact of vehicle platooning on highway congestion: A fluid queuing approach,” 21st ACM International Conference on Hybrid Systems: Computation and Control, Porto, Portugal. pdf

  • Jin, L. & Amin, S. (2017) Calibration of a macroscopic traffic flow model with stochastic saturation rates, Transportation Research Board 88th Annual Meeting, Washington, DC. pdf

  • 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. pdf

Thesis

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

Talks

  • ‘‘Analysis and Control of Dynamic Flow Models with Stochastic Disruptions,’’ Seminar at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, Germany, on August 5, 2016.

  • ‘‘Stability and control of flow networks with capacity disruptions," TransRegio Seminar at the University of Nuremberg-Erlangen Department of Applied Mathematics, Erlangen, Germany, on June 13, 2016.

  • ‘‘Stability and control of piecewise-deterministic queueing systems," Foundations of Resilient Cyber-Physical Systems (FORCES) All Hands Meeting in Cambridge, MA, on June 9, 2016.

  • ‘‘Hierarchical control of freeway networks subject to disturbances," System Science of SecUrity and Resilience for cyber-physical systems (SURE) Review Meeting in Arlington, VA, on November 18, 2015.

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

  • ‘‘Stochastic hybrid modeling of flow network incidents,’’ Foundations of Resilient Cyber-Physical Systems (FORCES) All Hands Meeting in Oakland, CA, on June 16, 2014.