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Main Title: A Simulation-based Approach for Constructing All-day Travel Chains from Mobile Phone Data
Author(s): Zilske, Michael
Nagel, Kai
Type: Article
Language Code: en
Abstract: 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.
Issue Date: 2015
Date Available: 19-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): agent-oriented simulation
demand generation
mobile phone data
Journal Title: Procedia Computer Science
Publisher: Elsevier BV
Publisher Place: Red Hook, NY
Volume: 52
Publisher DOI: 10.1016/j.procs.2015.05.017
Page Start: 468
Page End: 475
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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