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🆕 Date Issued:
2015
🗄 In DepositOnce:2018-04-19
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A Simulation-based Approach for Constructing All-day Travel Chains from Mobile Phone Data

Zilske, Michael; Nagel, Kai

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