作者: Michael Zilske , Kai Nagel
DOI: 10.1016/J.PROCS.2015.05.017
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摘要: Abstract The purpose of this work is to investigate replacing travel diaries with sets call detail records (CDRs) as inputs for an agent-oriented traffic simulation. We propose constructing agent population directly from a CDR dataset and fusing it link volume counts reduce spatio-temporal uncertainty correct underrepresented segments. problem finding set plans which realizes trajectories consistent rephrased in terms calibrating choice model. This enables us make use existing calibration scheme simulations. demonstrate our approach by illustrative scenario synthetic data.