Santhanakrishnan Narayanan
Santhanakrishnan Narayanan is a postdoc and a senior mobility scientist at the Technical University of Munich (TUM).
He studied Civil Engineering at SASTRA University in India. He, then, worked as a Graduate Engineer Trainee and then as Senior Engineer in Larsen & Toubro Construction, an Indian multinational conglomerate, where he was part of Chennai Metro project team. He completed M. Sc. in Transportation Systems at TUM.
Subsequent to his masters degree, he joined our Chair as a Mobility Scientist and did his doctorate in parallel. During this tenure, he has cooperated with institutes from multiple countries and has collaborated with a variety of stakeholders. He managed the EU H2020 project MOMENTUM, handling both technical and administrative tasks of TUM. He was also associated with the TUM IGSSE project MO3 and was a guest researcher in the group of Machine Learning for Smart Mobility (MLSM) at Technical University of Denmark (DTU). In addition, he collaborated with DLR Institute of Transport Research to support them with Europe’s largest cargo cycle testing project Ich entlaste städte. For his work on the travel time differences between cargo cycles and cars, which he accomplished through this collaboration, he received the Best Research Paper award from the TRB Urban Freight Transportation Committee. Today, he is mentoring the members of the EU H2020 project PHOEBE.
He majorly focusses on the development of modelling frameworks for emerging mobility solutions, with an emphasis on combining the strengths of traditional statistical modelling approaches and the state-of-the-art data-driven methodologies. Of late, he is onceptualising & prototyping cutting edge graph neural network based solutions for transport problems. His research spans across the fields of conventional and automated shared mobility services in passenger transport and cargo cycles in commercial transport. Consequently, his publications include both theoretical and applied research, and also comprehensive review works.
A full list of journal publications can be found here
Methodological papers
- Narayanan, S., Chaniotakis, E., & Antoniou, C. (2022). Modelling reservation-based shared autonomous vehicle services: A dynamic user equilibrium approach.Transportation Research Part C: Emerging Technologies,140. https://doi.org/10.1016/j.trc.2022.103651
- Narayanan, S., & Antoniou, C. (2022). Expansion of a small-scale car-sharing service: A multi-method framework for demand characterisation and derivation of policy insights. Journal of Transport Geography, 104. https://doi.org/10.1016/j.jtrangeo.2022.103438
- Narayanan S., Salanova Grau, J. M., Frederix, R., Tympakianaki, A., & Antoniou, C. (2021). Modelling of shared mobility services - An approach in between traditional strategic models and agent-based models. In the 24th Euro Working Group on Transportation Meeting (EWGT 2021), September 2021 [Journal paper under review].
Applied Research
- Narayanan, S., & Antoniou, C. (2023). Shared mobility services towards Mobility as a Service (MaaS): What, who and when?. Transportation Research Part A: Policy and Practice, 168. URL: https://doi.org/10.1016/j.tra.2023.103581
- Narayanan. S., Makarov, N., Magkos, E., Salanova Grau, J. M., Aifadopoulou, G., & Antoniou, C. (2023). Can Bike-Sharing Reduce Car Use in Alexandroupolis? An Exploration through the Comparison of Discrete Choice and Machine Learning Models. Smart Cities, 6(3), 1239-1253. https://doi.org/10.3390/smartcities6030060
- Narayanan S., Gruber, J., Liedtke, G., & Antoniou, C. (2022). Purchase intention and actual purchase of cargo cycles: Influencing factors and policy insights. Transportation Research Part A: Policy and Practice, 155, 31-45. https://doi.org/10.1016/j.tra.2021.10.007
Review works
- Narayanan, S., & Antoniou, C. (2022). Electric cargo cycles - A comprehensive review. Transport Policy, 116, 278-303. https://doi.org/10.1016/j.tranpol.2021.12.011
- Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020). Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies, 111, 255-293. https://doi.org/10.1016/j.trc.2019.12.008
- Narayanan S., Chaniotakis E., & Antoniou, C. (2020). Factors affecting traffic flow efficiency implications of connected and autonomous vehicles: A review and policy recommendations. Advances in Transport Policy and Planning. https://doi.org/10.1016/bs.atpp.2020.02.004
Miscellaneous
- Narayanan, S. (2019). Traveling Salesman Problem. MATLAB Central File Exchange. https://www.mathworks.com/matlabcentral/fileexchange/64654- traveling-salesman-problem
| Aug 2023 - Today | Senior Mobility Scientist Technical University of Munich (TUM), Munich Germany |
| Sep 2019 - Jul 2023 | Mobility Scientist Technical University of Munich (TUM), Munich Germany |
| Mar 2018 - May 2018 | Research Intern Deutsches Zentrum für Luft- und Raumfahrt (DLR), Berlin, Germany |
| Jul 2015 - Jan 2016 | Senior Engineer Larsen & Toubro Construction (L&T), Chennai, India |
| Jul 2014 - Jun 2015 | Graduate Engineering Trainee (GET) Larsen & Toubro Construction (L&T), Chennai, India |
| Dec 2013 - Feb 2014 | Research Intern Indian Institute of Technology (IIT) Bombay, Mumbai, India |
| Dec 2012 | Design Intern CSIR Centre for Mathematical Modelling and Computer Simulation, Bangalore, India |
| Jul 2023 - Today | Postdoc Technical University of Munich (TUM) Topic: Modeling of multimodal trips and emerging mobility solutions |
| Apr 2020 - Mar 2023 | Ph.D. Candidate Technical University of Munich (TUM) Dissertation: Aggregate four-step and disaggregate agent-based modelling approaches, but what is in between?: Development of an intermediate transport modelling approach |
| Oct 2016 - Jul 2019 | Master of Science in Transportation Systems Technical University of Munich (TUM) Thesis: Review and modelling of shared autonomous vehicle services (Grade: 1) |
| Jun 2010 - Jun 2014 | Bachelor of Technology in Civil engineering Thesis: Analysis of susceptibility to suffusion (Grade: 10) |