Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6816
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.
URI: https://depositonce.tu-berlin.de//handle/11303/7626
http://dx.doi.org/10.14279/depositonce-6816
Issue Date: 2015
Date Available: 19-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): agent-oriented simulation
demand generation
mobile phone data
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
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

Files in This Item:
File Description SizeFormat 
1-s2.0-S1877050915008170-main.pdf1.07 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons