Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7686
Main Title: Modeling bicycle traffic in an agent-based transport simulation
Author(s): Ziemke, Dominik
Metzler, Simon
Nagel, Kai
Type: Article
Language Code: en
Abstract: Cycling as an inexpensive, healthy, and efficient mode of transport for everyday traveling is becoming increasingly popular. While many cities are promoting cycling, it is rarely included in transport models and systematic policy evaluation procedures. The purpose of this study is to extend the agent-based transport simulation framework MATSim to take into account attributes of the infrastructure that are relevant for cycling and the decisions that cyclists take. It is shown that meaningful simulation results are obtained for both an illustrative test scenario and a Berlin scenario. Further attributes (e.g. personal or bicycle-related attributes) that have an effect on the behavior of cyclists can be included into the simulation and, by this, into policy evaluation. Based on the exclusive reliance on open data, the approach is transferable to other spatial contexts.
URI: https://depositonce.tu-berlin.de//handle/11303/8552
http://dx.doi.org/10.14279/depositonce-7686
Issue Date: 2017
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): cycling
bicycle traffic
transport simulation
agent-based modeling
agent-based simulation
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 109
Publisher DOI: 10.1016/j.procs.2017.05.424
Page Start: 923
Page End: 928
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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