2021

Staiger, Julian, and Simeon C. Calvert. "Empirical Analysis of Longitudinal and Lateral Vehicle Dynamics of Automated Vehicles." (2021).

Calvert, S. C., Soora Rasouli, Erik Verhoef, Teije Gorris, Natalie Veenkamp, B. van Arem, and Nick Juffermans. "Slimme Mobiliteit voor beleidsmakers." (2021).

E. N. Al-Khanak, Lee Peck Sai, Saif Ur Rehman Khan; Navid Behboodian; Alexander Verbraeck; Hans van Lint, “A Heuristics-Based Cost Model for Scientific Workflow Scheduling in Cloud”, 2021, Computers, Materials & Continua, Vol.67, No.3, 2021, pp.3265-3282. 

Ramzan, M.J., Khan, S.U.R., ur-Rehman, I., Rehman, M.H.U. and Al-khanak, E.N. (2021), "Facilitating transmuters' acquisition of data scientist knowledge based on their educational backgrounds: state-of-the-practice and challenges", Library Hi Tech.

Ali A R. Alkhafaji, Nilam Nur Amir Sjarif, Shahidan M.A, Nurulhuda Firdaus Mohd Azmi,Haslina Md Sarkan, Suriayati Chuprat, and E. N. Al-Khanak, “Payload Capacity Scheme for Text Watermarking Based on Vowels with Kashida”, Computers, Materials & Continua, Vol.67, No.3, 2021, pp.3865-3885. 

2020

Guopeng, L. I., Victor L. Knoop, and Hans van Lint. "Dynamic Graph Filters Networks: A Gray-box Model for Multistep Traffic Forecasting." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1-6. IEEE, 2020.

Dowlatshah, Katayon, Mojtaba Alizadeh, Mehrdad Ahmadzadeh Raji, and E. N. Al-khanak. "A secure and robust smart card-based remote user authentication scheme." International Journal of Internet Technology and Secured Transactions 10, no. 3 (2020): 255-267.

Al-khanak, E.N., S.U.R. Khan, A. Verbraeck, and H. Van Lint. Conceptual framework supporting pattern design selection for scientificworkflow applications in cloud computing. in CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science. 2020.

Calvert, Simeon C., and Bart van Arem. "Cooperative adaptive cruise control and intelligent traffic signal interaction: a field operational test with platooning on a suburban arterial in real traffic." IET Intelligent Transport Systems 14, no. 12 (2020): 1665-1672.

Heikoop, D. D., S. C. Calvert, G. Mecacci, and M. P. Hagenzieker. "A practitioner’s view of driver training for automated driving from driving examiners: A focus group discussion." In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), pp. 14-19. IEEE, 2020.

Soni, S., and S. C. Calvert. "A methodology for prediction accuracy assessment of intelligent traffic signal control algorithms with SPaT messages." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1-6. IEEE, 2020.

Calvert, Simeon C., and Giulio Mecacci. "A conceptual control system description of Cooperative and Automated Driving in mixed urban traffic with Meaningful Human Control for design and evaluation." IEEE Open Journal of Intelligent Transportation Systems 1 (2020): 147-158.

Calvert, S. C., G. Klunder, J. L. L. Steendijk, and M. Snelder. "The impact and potential of cooperative and automated driving for intelligent traffic signal corridors: A field-operational-test and simulation experiment." Case studies on transport policy 8, no. 3 (2020): 901-919.

Calvert, Simeon C., Daniël D. Heikoop, Giulio Mecacci, and Bart van Arem. "A human centric framework for the analysis of automated driving systems based on meaningful human control." Theoretical Issues in Ergonomics Science 21, no. 4 (2020): 478-506.

Calvert, Simeon C., Giulio Mecacci, Bart van Arem, F. Santoni de Sio, Daniël D. Heikoop, and Marjan Hagenzieker. "Gaps in the control of automated vehicles on roads." IEEE intelligent transportation systems magazine (2020).

Van Lint, H., T.T. Nguyen, P. Krishnakumari, S.C. Calvert, H. Schuurman, and M. Schreuder, Estimating the Safety Effects of Congestion Warning Systems using Carriageway Aggregate Data, in Transportation Research Record. 2020. p. 278-288.

Sharma, S., M. Snelder, L. Tavasszy, and H. Van Lint, Categorizing merging and diverging strategies of truck drivers at motorway ramps and weaving sections using a trajectory dataset, in Transportation Research Record. 2020. p. 855-866.

Schakel, W., V. Knoop, M. Keyvan-Ekbatani, and H.v. Lint, Social interactions and driving strategies in traffic flow. In preparation, 2020.

Poelman, M.C., A. Hegyi, A. Verbraeck, and J.W.C. van Lint, Sensitivity Analysis to Define Guidelines for Predictive Control Design, in Transportation Research Record. 2020. p. 385-398.

Krishnakumari, P., H. van Lint, T. Djukic, and O. Cats, A data driven method for OD matrix estimation. Transportation Research Part C: Emerging Technologies, 2020. 113: p. 38-56.

Krishnakumari, P., O. Cats, and H. van Lint, A compact and scalable representation of network traffic dynamics using shapes and its applications. Transportation Research Part C: Emerging Technologies, 2020. 121.

Krishnakumari, P., O. Cats, and H. Van Lint, Heuristic Coarsening for Generating Multiscale Transport Networks. IEEE Transactions on Intelligent Transportation Systems, 2020. 21(6): p. 2240-2253.

Krishnakumari, P., O. Cats, and H. van Lint, Estimation of metro network passenger delay from individual trajectories. Transportation Research Part C: Emerging Technologies, 2020. 117.

Degeler, V., L. Heydenrijk-Ottens, D. Luo, N. van Oort, and H. van Lint, Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. Public Transport, 2020.

Cats, O., A. Vermeulen, M. Warnier, and H. van Lint, Modelling growth principles of metropolitan public transport networks. Journal of Transport Geography, 2020. 82.

Calvert, S.C., W.J. Schakel, and J.W.C. Van Lint, A generic multi-scale framework for microscopic traffic simulation part II –Anticipation Reliance as compensation mechanism for potential task overload. Transportation Research Part B: Methodological, 2020. 140: p. 42-63.

2019

2018

 Cerqueira, V., L. Moreira-Matias, J. Khiari and H. van Lint (2018). “On Evaluating Floating Car Data Quality for Knowledge Discovery.” IEEE Transactions on Intelligent Transportation Systems.

 Degeler, V., L. Heydenrijk-Ottens, D. Luo. N. van Oort, H. van Lint (2018), Unsupervised approach to bunching swings phenomenon Analysis, Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.

 Di Pasquale G., V. Degeler, A. Papacharalampous, E. Mantouka, J.L. Larriba, Multimodal travel companion enabled by Artificial Intelligence, 25th ITS World Congress, Copenhagen, 17-21 September, 2018

 Heydenrijk-Ottens, L., V. Degeler, D. Luo, N. van Oort, H. van Lint (2018), Supervised learning: Predicting passenger load in public transport, Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.

 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.

 Luo, D., Bonnetain, L., Cats, O. & van Lint, H (2018). Constructing Spatiotemporal Load Profiles of Transit Vehicles with Multiple Data Sources. In Transportation Research Board 97th Annual Meeting (TRB), Washington, D.C., USA.

 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, 0361198118781166.

 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.

 Mantouka E. , A. Papacharalampous, I. Stroumpou, L. Heydenrijk, S. Shelat, P. Chamoso Santos, J. Guisado-Gamez, V. Degeler, E. Mitsakis, E. Vlahogianni, J. Larriba-Pey, Urban Travel Behaviour: A Cross-country Comparison, 7th Symposium of the European Association for Research in Transportation (hEART), Athens, 5-7 September, 2018

 Shelat, S., Huisman, R., & van Oort, N. (2018). Analysing the trip and user characteristics of the combined bicycle and transit mode. Research in Transportation Economics.

 Van Lint, J.W.C. & Calvert, S.C. (2018). A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction. In Transport Research Part B: Methodological, 117, 63-86

 Van Lint, H., S. Calvert, W. Schakel, M. Wang and A. Verbraeck (2018). Exploring the effects of perception errors and anticipation strategies on traffic accidents - A simulation study. Advances in Intelligent Systems and Computing. 591: 249-261.

 Xie, X., H. van Lint and A. Verbraeck (2018). “A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters.” Transportation Research Part C: Emerging Technologies 92: 364-391.

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

2017

 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 Clustering. Transportation 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.

 Krishnakumari, P., Nguyen, T., Heydenrijk-Ottens, L., Hai, L. V. & van Lint, H. (2017). Traffic Congestion Pattern Classification Using Multiclass Active Shape Models. Transportation Research Record: Journal of the Transportation Research Board, (2645).

 Lopez, C., Leclercq, L., Krishnakumari, P., Chiabaut, N. & van Lint, H. (2017). Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps. Scientific Reports, 7(1), 14029.

 Lopez, C., Krishnakumari, P., Leclercq, L., Chiabaut, N. & van Lint, H. (2017). Spatio-temporal Partitioning of Transportation Network Using Travel Time Data. Transportation Research Record: Journal of the Transportation Research Board, (2623), 98-107.

 Shelat S. and Cats O. (2017). Measuring Spill-over Effects of Disruptions in Public Transport Networks. The 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS2017), Naples, 756-761.

 Shelat, S., R. Huisman, N. van Oort (2017). Understanding the Trip and User Characteristics of the combined Bicycle and Transit Mode. Thredbo conference Stockholm.

 van der Vliet, J., Pel, A. & van Lint, H (2017). Enriched travel demand estimation by including zonal and traveler characteristics and their relationships. In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pages 351-355.

2016

 Nguyen, H. N., Krishnakumari, P., Hai, L. V. & van Lint, H (2016). Traffic congestion pattern classification using multi-class SVM. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pages 1059-1064.