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Journals
- Van Cranenburgh, S., & Kouwenhoven, M. (2021). An artificial neural network based method to uncover the value-of-travel-time distribution. Transportation, 48(5), 2545-2583.
- Alwosheel, A., van Cranenburgh, S., & Chorus, C. G. (2021). Why did you predict that? Towards explainable artificial neural networks for travel demand analysis. Transportation Research Part C: Emerging Technologies, 128, 103143.
- Van Cranenburgh, S., Wang, S., Vij, A., Pereira, F., & Walker, J. (2021). Choice modelling in the age of machine learning. arXiv preprint arXiv:2101.11948.
- Alwosheel, A., Van Cranenburgh, S., & Chorus, C. G. (2019). ‘Computer says no’ is not enough: Using prototypical examples to diagnose artificial neural networks for discrete choice analysis. Journal of choice modelling, 33, 100186.
- Van Wee, B., Van Cranenburgh, S., & Maat, K. (2019). Substitutability as a spatial concept to evaluate travel alternatives. Journal of transport geography, 79, 102469.
- Van Cranenburgh, S., & Alwosheel, A. (2019). An artificial neural network based approach to investigate travellers’ decision rules. Transportation Research Part C: Emerging Technologies, 98, 152-166.
- Alwosheel, A., van Cranenburgh, S., & Chorus, C. G. (2018). Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis. Journal of choice modelling, 28, 167-182.
- Yap M. and Cats O. (2020). Predicting Disruptions and their Passenger Delay Impacts for Public Transport Stops. Transportation, 48, 1703-1731.
- van Lint, H., Nguyen, T. T., Krishnakumari, P., Calvert, S. C., Schuurman, H., & Schreuder, M. (2020). Estimating the safety effects of congestion warning systems using carriageway aggregate data. Transportation Research Record, 2674(11), 278-288.
- Calvert, S. C., & van Arem, B. (2020). 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(12), 1665-1672.
- Nguyen, T. T., Krishnakumari, P., Calvert, S. C., Vu, H. L., & Van Lint, H. (2019). Feature extraction and clustering analysis of highway congestion. Transportation Research Part C: Emerging Technologies, 100, 238-258.
- Nguyen, T. T., Calvert, S. C., Vu, H. L., & van Lint, H. (2021). An Automated Detection Framework for Multiple Highway Bottleneck Activations. IEEE Transactions on Intelligent Transportation Systems.
Conference Abstracts & Proceedings