Biblio

Filters: Author is Jing Zhang  [Clear All Filters]
2018-05-15
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis.  Submitted.  The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies. Proceedings of the IEEE: special issue on "Smart Cities''.
Jing Zhang, Ioannis Ch. Paschalidis.  2018.  Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models. IEEE Trans. on Signal Processing.

accepted

Jing Zhang, Ioannis Ch. Paschalidis.  2017.  Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks. Proceedings of IEEE 56th Conference on Decision and Control (CDC) (to appear), arXiv:1703.04010.
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis.  2017.  Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks. Proceedings of 20th IFAC World Congress, arXiv:1610.09580. :10090-10095.
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis.  2016.  The price of anarchy in transportation networks by estimating user cost functions from actual traffic data. Proceedings of IEEE 55th Conference on Decision and Control (CDC). :789-794.
Jing Zhang, I. Ch. Paschalidis.  2015.  An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection. Proceedings of the 54th IEEE Conference on Decision and Control. :3810–3815.