Li Jin's webpage

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Li Jin 金力
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 interest is resilient operations of smart transportation systems, i.e. road networks with automatic traffic controls and connected and autonomous vehicles (CAVs).I considered the system-level impact of integration of CAV platoons into highway networks, and derived insights for traffic control. I am particularly interested in the network’ resilience against cyber-physical perturbations including traffic incidents, platoon merges of connected heavy-duty vehicles, traffic signal malfunctions, and security failures. The main innovations of my approach includes macroscopic models for traffic flow with CAVs and stochastic (both spatially and temporally) models for random perturbations in road networks. I am also interested in the cyber-physical security issues of CAVs and automatic traffic control. Specific projects include

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

  • Traffic control for highways with CAVs under stochastic disruptions (joint work with Alexander A. Kurzhanskiy (Berkeley PATH))

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

Updates

  • 4/13/2018: I presented the paper ‘‘Modeling impact of vehicle platooning on highway congestion: A fluid queuing approach’’ on the 21st ACM International Conference on Hybrid Systems: Computation and Control in Porto, Portugal. pdf bib

  • 3/27/2018: I delivered the talk ‘‘Resilient Operations of Smart Highways with Smart Vehicles’’ at the New York University Department of Civil and Urban Engineering.

  • 3/9/2018: Our paper ‘‘Analysis of a stochastic switching model of freeway traffic incidents’’ is accepted by IEEE Transactions on Automatic Control. pdf

  • 3/2/2018: I delivered the talk ‘‘Modeling, Analysis, and Control of Smart Highways under Capacity Perturbations’’ at the University of California, Berkeley, Institute of Transportation Studies.

  • 2/5/2018: Our paper ‘‘Stability of fluid queueing systems with parallel servers and stochastic capacities’’ is accepted by IEEE Transactions on Automatic Control. pdf

  • 1/25/2018: I delivered the colloquium ‘‘Operational Resilience of Smart Transportation Systems” at the Purdue University School of Aeronautics and Astronautics.

  • 12/19/2017: Our paper “Modeling impact of vehicle platooning on highway congestion: A fluid queuing approach” is accepted by the 21st ACM International Conference on Hybrid Systems: Computation and Control. pdf

  • 11/20/2017: I delivered the seminar ‘‘Capacity Allocation in Stochastic Flow Networks: Applications in smart transportation systems” at the University of Tennessee Department of Electrical Engineering and Computer Science.

Publications

Preprints & working papers

  • Wu, M., Jin, L., Amin, S., & Jaillet, P., Signaling game-based misbehavior inspection in V2I-enabled highway operations, pdf bib

  • 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

Journal articles

  • Jin, L. & Amin, S., Analysis of a stochastic switching model of freeway traffic incidents, to appear in IEEE Transactions on Automatic Control. pdf bib

  • Jin, L. & Amin, S., Stability of fluid queueing systems with parallel servers and stochastic capacities, to appear in IEEE Transactions on Automatic Control. pdf bib

  • 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 bib

  • 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 bib

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 bib

  • 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 bib

  • 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 bib

Thesis

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

Talks

  • ‘‘Modeling impact of vehicle platooning on highway congestion: A fluid queuing approach,” 21st ACM International Conference on Hybrid Systems: Computation and Control, Porto, Portugal, on April 13, 2018.

  • ‘‘Resilient operations of smart highways with smart vehicles,’’ New York University Department of Civil and Urban Engineering, Brooklyn, NY, on March 27, 2018.

  • ‘‘Modeling, analysis, and control of smart highways under capacity perturbations,’’ University of California, Berkeley, Institute of Transportation Studies, Berkeley, CA, on March 2, 2018.

  • ‘‘Operational resilience of smart transportation systems,” Purdue University School of Aeronautics and Astronautics, West Lafayette, IN, on January 25, 2018.

  • ‘‘Capacity allocation in stochastic flow networks: Applications in smart transportation systems,” University of Tennessee Department of Electrical Engineering and Computer Science, Knoxville, TN, on November 20, 2017.

  • ‘‘Analysis and control of dynamic flow models with stochastic disruptions,’’ Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, Germany, on August 5, 2016.

  • ‘‘Stability and control of flow networks with capacity disruptions," 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.