Ding Luo

Ding Luo is currently a PhD student with the department of Transport and Planning at Delft University of Technology. He conducts his PhD research under the supervision of Prof. Dr. Hans van Lint and Dr. Oded Cats. He is also a member of the DittLab founded by Prof. Dr. Hans van Lint which focuses on traffic modeling and computing.

He received his bachelor’s and master’s degrees, respectively, from Beijing Jiaotong University in Beijing , China (2012), and KTH Royal Institute of Technology in Stockholm, Sweden (2014). Before joining TU Delft for the PhD in 2016, he shortly worked as a transport engineer and analyst in Shenzhen, China. Sponsored by an European Union’s Horizon 2020 project – SETA, Luo conducts his PhD research on public transport. More specifically, he focuses on data-driven analysis and modeling of the public transport system based on prevailing public transport data sources, including smart card Automatic Fare Collection (AFC), Automatic Vehicle Location (AVL) and General Transit Feed Specification (GTFS).

Luo D., Cats O. and van Lint H. (2019). Can Passenger Flow Distribution be Estimated Solely based on Network Properties in Public Transport Systems? Transportation. In press.


Luo D., Cats O. and van Lint H. (2019). “Enhanced Complex Network Representation of Public Transport for Accessibility Assessment based on General Transit Feed Specification Data”. TransitData2019, Paris. July 2019.


Yap M., Luo D., Cats O., van Oort N. and Hoogendoorn S. (2019). Where Shall We Sync? Clustering Passenger Flows to Identify Urban Public Transport Hubs and Their Key Synchronization Priorities. Transportation Research Part C, 98, 433-448.


Luo D., Bonnetain L., Cats O. and van Lint H. (2018). Constructing Spatiotemporal Load Profiles of Transit Vehicles with Multiple Data Sources. Transportation Research Record, in press.


Luo D., Bonnetain L., Cats O. and van Lint H. (2018). Constructing Spatiotemporal Load Profiles of Transit Vehicles with Multiple Data Sources. Proceedings of the 97th Transportation Research Board Annual Meeting, Washington DC.


Luo D., Cats O. and van Lint H. “Can Passenger Flow be Explained by Network Topology in Public Transport?”. Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia. July 2018.


Yap M., Luo D. and Cats O. (2018). Using Passenger Flows to Determine Key Interchange Connections. Conference on Advanced Systems in Public Transport (CASPT), Brisbane, Australia. Proceedings of the Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.


Yap M., Luo D. and Cats O. “Where Shall We Sync? Using Passenger Flows to Determine Key Interchange Connections”. Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia. July 2018.


Luo D., Cats O. and van Lint H. (2017). Analysis of Network-wide Transit Passenger Flows based on Principal Component Analysis. The 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2017), Naples, 744-749.


Luo D., Cats O. and van Lint H. (2017). Constructing Transit Origin-Destination Matrices using Spatial ClusteringTransportation Research Record, 2652, 39-49.


Luo D., Cats O. and van Lint H. (2017). Constructing Transit Origin-Destination Matrices using Spatial Clustering. Proceedings of the 96th Transportation Research Board Annual Meeting, Washington DC.


Smart Public Transport Lab

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 E-mail: smartptlab@tudelft.nl

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