Panchamy Krishnakumari

Panchamy Krishnakumari is currently a Postdoc with the department of Transport and Planning at Delft University of Technology. She has been conducting her PhD research under the supervision of Prof. Dr. Hans van Lint and Dr. Oded Cats from February 2016. She is also a member of DittLab founded by Prof. Dr. Hans van Lint which focuses on traffic modeling and computing. Sponsored by an European Union’s Horizon 2020 project – SETA, Panchamy conducts her PhD research on multimodal network predictions. She focuses on adopting pattern recognition techniques on prevailing multimodal traffic data sources to better understand the network dynamics at different scales.

Panchamy received her bachelor’s degree in Electronics and Communication Engineering from Amrita University, India. She received a dual master’s degrees in Computer Science from KTH Royal Institute of Technology, Sweden and TU Delft, The Netherlands. Her master thesis was titled “Supervised learning for measuring hip joint distance in digital X-ray images”. She wants to adopt her knowledge and experience in pattern recognition from these domains into the transportation domain.

Zhang, Z. (2021). Improving the Service of E-bike Sharing by Demand Pattern Analysis. MSc thesis TU Delft

Cats O., Krishnakumari P., Arbez N., Chiabaut N. and van Lint H. Empirical Evaluation of the Efficiency and Effectiveness of a Ride-Sourcing Service. 99th Transportation Research Board Annual Meeting, Washington DC. January 2020.

Krishnakumari P. and Cats O. (2020). Metropolitan Rail Network Robustness. Physica A, 549, 124317.

Krishnakumari P., Cats O. and van Lint H. Day-to-day and Seasonal Regularity of Network Passenger Delay for Metro Networks. 99th Transportation Research Board Annual Meeting, Washington DC. January 2020.

Krishnakumari P., Cats O., van Lint H. (2020). Estimation of Metro Network Passenger Delay from Individual Trajectories. Transportation Research Part C, 117, 102704.

Krishnakumari, P. (2020). “Multiscale Pattern Recognition of Transport Network Dynamics and its Applications”. PhD thesis.

Cats O., Krishnakumari P. and Tundulyasaree K. (2019). Rail Network Robustness: The Role of Rapid Development and a Polycentric Structure in Withstanding Random and Targeted Attacks. Proceedings of the 98th Transportation Research Board Annual Meeting, Washington DC.

Krishnakumari P., Cats O. and van Lint H. (2019). Heuristic Coarsening for Generating Multiscale Transport Networks. IEEE Transactions on Intelligent Transport Systems, in press.

Krishnakumari P., van Lint H., Djukic T. and Cats O. (2019). A Data Driven Method for OD Matrix Estimation. Transportation Research Part C, in press.

Liu T.L.K., Krishnakumari P.  And Cats O. (2019). Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering. IEEE proceedings of the 6th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2019), Cracow, Poland.

Krishnakumari P., Perotti A., Pinto V., Cats O. and van Lint V. (2018). Understanding Network Traffic States using Transfer Learning. The 21st International IEEE conference on Intelligent Transportation Systems (ITSC), Hawaii , 4-7 November.

Smart Public Transport Lab

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