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Results: 4
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  • Zhou, H., Dorsman, J. L., Mandjes, M., & Snelder, M. (2023). On the use of common random numbers in activity-based travel demand modeling for scenario comparison. Transportation Planning and Technology, 46(3), 359-379. https://doi.org/10.1080/03081060.2023.2182784
  • Open Access
    Zhou, H. (2023). Impact assessment of new mobility services using accelerated activity-based demand modeling. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhou, H., Dorsman, J. L., Snelder, M., Mandjes, M., & Romph, E. D. (2021). Effective determination of MaaS trip modes in activity-based demand modelling. In P. Bonnel, & G. Monchambert (Eds.), hEART 2020: 9th European Association for Research in Transportation, February 3-4 2021 hEART. https://transp-or.epfl.ch/heart/2020.php
  • Open Access
    Zhou, H., Dorsman, J. L., Snelder, M., Romph, de, E., & Mandjes, M. R. H. (2019). GPU-based Parallel Computing for Activity-based Travel Demand Models. In E. Shakshuki (Ed.), The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops (Vol. 151, pp. 726-732). (Procedia Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2019.04.097
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