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Towards an integrated urban development considering novel intelligent transportation systems

Richter, Andreas and Löwner, Marc-Oliver and Ebendt, Rüdiger and Scholz, Michael (2020) Towards an integrated urban development considering novel intelligent transportation systems. Technological Forecasting and Social Change, 155. Elsevier. DOI: 10.1016/j.techfore.2020.119970 ISSN 0040-1625

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Official URL: http://www.sciencedirect.com/science/article/pii/S0040162518319498

Abstract

Urban areas are currently facing new and enormous challenges: urbanization, connected and automated land and air transport with new demand for transport and logistic services, maintenance of more complex traffic and supply infrastructure as well as mandatory digitalization of cadastral information under the constraints of limited space and resources. Different stakeholders are interested in using detailed, precise and up-to-date data about the urban environment. These stakeholders are not only governmental bodies, road operators and (public) fleet managers but also companies that are interested in testing and operating new intelligent transportation systems and connected and automated vehicles in realistic and complex urban simulation environments. This article proposes a concept of how to tackle this complex task based on approaches already conducted in the domain of the development and test of automated driving and city modeling. Core elements of this thesis are an all-embracing geo-database, a toolchain to import, validate, process and fuse the necessary data as well as interfaces and data formats for automated data exchange. The feasibility and challenges as well as the potential and synergies of implementing of this concept are discussed by analyzing similar solutions in the key domains. The article concludes with a proposal to realize such a concept.

Item URL in elib:https://elib.dlr.de/124677/
Document Type:Article
Title:Towards an integrated urban development considering novel intelligent transportation systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Richter, AndreasAndreas.Richter (at) dlr.dehttps://orcid.org/0000-0003-3877-8275
Löwner, Marc-Oliverm-o.loewner (at) tu-bs.dehttps://orcid.org/0000-0001-8110-8766
Ebendt, RüdigerRuediger.Ebendt (at) dlr.dehttps://orcid.org/0000-0002-3565-7024
Scholz, MichaelMichael.Scholz (at) dlr.dehttps://orcid.org/0000-0002-1052-6503
Date:9 March 2020
Journal or Publication Title:Technological Forecasting and Social Change
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:155
DOI :10.1016/j.techfore.2020.119970
Publisher:Elsevier
ISSN:0040-1625
Status:Published
Keywords:Intelligent Transportation Systems; Urban development; Geo-databases; Toolchains; Data formats
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Ebendt, Dr.rer.nat. Rüdiger
Deposited On:10 Mar 2020 11:04
Last Modified:10 Mar 2020 11:04

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