Jishnu Narayan

Jishnu Narayan is a PhD candidate in the Department of Transport and Planning at TU Delft. He started his PhD in June 2016. He is involved in the research project SCRIPTS (Smart Cities’ Responsive Intelligent Public Transport Systems). His research within the SCRIPTS Project involves optimal network design for hybrid public transport systems combining traditional line/schedule based public transport systems with innovative mobility systems and investigating implications of integrating modes of traditional public transport and innovative demand responsive services. His major research interests are public transport network design, agent based simulation and application of evolutionary optimization algorithms to public transport network design. 

He did his Masters from IIT Kanpur (India) in Transportation Engineering and Bachelors From NIT Calicut (India) in Civil Engineering. During his Masters he worked in the field of public transport network design. His thesis is titled ‘Optimal Route Network Design and Fleet Size Allocation for Transit Systems using Genetic Algorithms’. He worked for two years in transportation/infrastructure firms in India before joining as a PhD student at TU Delft.

Narayan, J., O. Cats, N. van Oort, S. Hoogendoorn (2019), Does ride-sourcing absorb the demand for car and public transport in Amsterdam? Proceedings of IEEE MT-ITS conference, Krakow.


Narayan J., Cats O., van Oort N. and Hoogendoorn S. “Passenger Route Choice and Assignment Model for Combined Fixed and Flexible Public Transport Systems”. Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia. July 2018.


Narayan, J.S., Cats O. and Hoogendoorn S. (2018). On-demand diensten onderzoeken met agent-based model. NM Magazine


Narayan J., Cats O., van Oort N. and Hoogendoorn S. (2017). Performance Assessment of Fixed and Flexible Public Transport in a Multi Agent Simulation Framework. EWGT2017 (20th Euro Working Group on Transportation), Budapest, Hungary.


Performance assessment of fixed and flexible public transport in a multi agent simulation framework. Narayan, J., Cats, O., van Oort, N., & Hoogendoorn, S. (2017). Transportation Research Procedia27, 109-116.


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