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Title: | An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model. | Authors: | ZIEMKE, Dominik Charlton, Billy Hörl, Sebastian Nagel, Kai |
Issue Date: | 2021 | Publisher: | Elsevier | Source: | Transportation research procedia (Online), 52 , p. 613 -620 | Abstract: | Agent-based transport simulation models are a particularly useful tool to analyze demand-oriented transport policies and new mobility services, which have both gained significant attention lately. Since travel diaries, a traditional source to create the transport demand in agent-based transport models, are often hard to procure and not policy-sensitive, alternative approaches to creating travel demand representations for simulation scenarios are sought. In this study, a particularly efficient approach based on Big Data and a new, aspatial activity-based demand model with comparatively low input data requirements is established. Home, work, and education locations are informed based on mobile-phone-based origin-destination matrices. Other activity locations are modeled within the scope of the coevolutionary algorithm of the agent-based transport model, which is also responsible for finding suitable travel options of the modeled individuals. As a result, a comparatively lightweight process chain to create an agent-based transport simulation scenario is established, which is transferable to other regions. A basic quality evaluation of the created tool chain is carried out against a well-validated transport simulation model of the same region. c 2020 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 23rd EURO Working Group on Transportation Meeting. | Keywords: | Agent-based transport simulation;activity-based demand models;cell-phone data;big data;transport model | Document URI: | http://hdl.handle.net/1942/33635 | ISSN: | 2352-1465 | DOI: | 10.1016/j.trpro.2021.01.073 | Rights: | 2020 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 23rd Euro Working Group on Transportation Meeting | Category: | A1 | Type: | Journal Contribution | Validations: | vabb 2023 |
Appears in Collections: | Research publications |
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ZiemkeEtAl2021-2.pdf | Published version | 690.64 kB | Adobe PDF | View/Open |
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