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An Automated Gradual Zoning Approach for large-scale Transport Models

Nordenholz, Falko and Metzler, Simon and Winkler, Christian (2019) An Automated Gradual Zoning Approach for large-scale Transport Models. Procedia Computer Science. Elsevier. doi: 10.1016/j.procs.2019.04.023. ISSN 1877-0509.

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Abstract

Along with the advance of information technologies and open data availability, transport models have become more complex in the last years. However, the basic structure is often neglected in model design. Transport analysis zones which form the spatial base of a model are often drawn alongside administrative boundaries and remain untouched, while the model evolves. This paper presents an automated approach to design traffic analysis zones as first step of a model, taking into account the administrative structure and possible data availability dimensions. A quality control step is included into the model framework

Item URL in elib:https://elib.dlr.de/127535/
Document Type:Article
Title:An Automated Gradual Zoning Approach for large-scale Transport Models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Nordenholz, FalkoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Metzler, SimonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Winkler, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:May 2019
Journal or Publication Title:Procedia Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1016/j.procs.2019.04.023
Publisher:Elsevier
ISSN:1877-0509
Status:Published
Keywords:Transport model, TAZ, zoning, GIS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Institute of Transport Research > Passenger Transport
Deposited By: Nordenholz, Falko
Deposited On:21 Jun 2019 19:54
Last Modified:08 Nov 2023 08:19

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