S.C. (Simeon) Calvert

Profile

Simeon Calvert is a research fellow in the department of Transport & Planning, Delft University of Technology. After working at applied scientific research institute TNO for 6 years, while obtaining his PhD, he rejoined the TU Delft in 2016.
As well as a researcher, Simeon maintains a role as coordinator of scientific research and applied projects at the traffic data and simulation lab DiTTlab (see dittlab.tudelft.nl). A main focus area is collaboration with the Amsterdam institute of Advanced Metropolitan Solutions (AMS) and affiliated partners to set up and carry out projects in the Metropolitan Region of Amsterdam (MRA).

Research

Simeon has a wide interest in traffic and mobility related research. His main research subjects include, but are not limited to:

  • The effects of automated & cooperative driving on traffic
  • Traffic flow simulation & modelling
  • Traffic flow analysis and data processing
  • Application of ITS and traffic management to the above topics

Simeon is a great believer of greater strength through cooperation and thus is always open to new collaborations. 

Bachelor thesis (CTB3000)

TIL Research and Design Methods (TIL4030-16)

Internship (CIE4040-09)

Master thesis (CIE5060-09)

Calvert, S. C., Schakel, W. J., & van Lint, J. W. C. (2017). Will automated vehicles negatively impact traffic flow?. Journal of Advanced Transportation2017.

Calvert, S. C., & Snelder, M. (2017). A methodology for road traffic resilience analysis and review of related concepts. Transportmetrica A: Transport Science, 1-25.

Calvert, S. C., Taale, H., & Hoogendoorn, S. P. (2016). Quantification of motorway capacity variation: influence of day type specific variation and capacity drop. Journal of Advanced Transportation50(4), 570-588.

Calvert, S. C., Snelder, M., Bakri, T., Heijligers, B., & Knoop, V. L. (2015). Real-time travel time prediction framework for departure time and route advice. Transportation Research Record: Journal of the Transportation Research Board, (2490), 56-64.

Van Stralen, W. J., Calvert, S. C., & Molin, E. J. (2015). The influence of adverse weather conditions on probability of congestion on Dutch motorways. European Journal of Transport and Infrastructure Research (EJTIR), 15 (4), 2015.

Calvert, S. C., Taale, H., Snelder, M., & Hoogendoorn, S. P. (2012, January). Improving probabilistic traffic modelling through advanced sampling. In Proceedings LATSIS symposium 2012, 1-5.

Calvert, S. C., Van Den Broek, T. A., & van Noort, M. (2011). Modelling cooperative driving in congestion shockwaves on a freeway network. In Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on (pp. 614-619). IEEE.

Dr. ir. Simeon Calvert

Research fellow & DiTTlab-coordinator

Secretary:

Priscilla Hanselaar

Publications:
ResearchGate
 
Google Scholar

Additional information

Dr.ir. S.C. (Simeon) Calvert

profiel

Biografie

Simeon Calvert is an Assistant Professor in Traffic Flow and Network Management at the Faculty of Civil Engineering and Geosciences Department of Transport and Planning.  
His main research focusses on the traffic flow effects of new technologies and disturbances. This includes topics such as: - Effects of Cooperative/Connected Automated Vehicles - Traffic flow simulation & modelling (incl. understanding the underlying human behaviours) - Traffic flow analysis and data processing (incl. field tests) - Application of (C)-ITS and traffic management to the above topics 

Expertise

Simeon Calvert is an Assistant Professor in Traffic Flow and Network Management at the Faculty of Civil Engineering and Geosciences Department of Transport and Planning. 
His main research focusses on the traffic flow effects of new technologies and disturbances. This includes topics such as: - Effects of Cooperative/Connected Automated Vehicles - Traffic flow simulation & modelling (incl. understanding the underlying human behaviours) - Traffic flow analysis and data processing (incl. field tests) - Application of (C)-ITS and traffic management to the above topics 

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