Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7697
Main Title: Studying the Accuracy of Demand Generation from Mobile Phone Trajectories with Synthetic Data
Author(s): Zilske, Michael
Nagel, Kai
Type: Article
Language Code: en
Abstract: We investigate replacing travel diaries with sets of call detail records (CDRs) as input data for an agent-oriented traffic simulation. Synthetic CDRs are used in order to study the effect of this substitution in isolation. We introduce an experimental design where a detailed synthetic transportation scenario with individual simulated travellers is combined with a simple model of mobile phone usage to collect synthetic CDRs. This set of artificial CDRs is then considered as input for another instance of the same traffic model, disregarding all other information. We analyse to what degree the model reproduces the base case, depending on the frequency of the available CDRs.
URI: https://depositonce.tu-berlin.de//handle/11303/8563
http://dx.doi.org/10.14279/depositonce-7697
Issue Date: 2014
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): transport simulation
multi-agent simulation
mobile phone data
License: https://creativecommons.org/licenses/by-nc-nd/3.0/
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 32
Publisher DOI: 10.1016/j.procs.2014.05.494
Page Start: 802
Page End: 807
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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