Applying a semi-automated workflow for digital dynamic maps to support the operation of automated vehicles

Andreas Hula (Vortragende:r), Andrea Schaub, Christian Stefan, Veronika Prändl-Zika, Isabela Petronela Erdelean

Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband mit PosterpräsentationBegutachtung

Abstract

Automated vehicles (AVs) promise new opportunities for urban transport and potential benefits to road safety, transport efficiency, travel comfort and emission levels. However, substantial technical hurdles need to be overcome before AVs can operate regularly on urban streets and highways. Besides considerable infrastructure adaptations, one way to enable the operation of AVs are digital dynamic maps (DDM or DD-map), which combine a high-definition map of the physical road scape with dynamic road data obtained from digital sources. Here we present the results of the EU Project SHOW on digital dynamic maps and their relevance for city planning, in particular how cities can benefit from the interplay with map providers. We provide a workflow to set-up and operate a digital dynamic map and discuss how this might benefit transportation systems.
OriginalspracheEnglisch
TitelTransportation Research Procedia
Herausgeber (Verlag)Elsevier BV
Seiten735-742
Seitenumfang8
BandVolume 72
DOIs
PublikationsstatusVeröffentlicht - 2022
VeranstaltungTransport Research Arena TRA Conference 2022 -
Dauer: 14 Nov. 202217 Nov. 2022

Konferenz

KonferenzTransport Research Arena TRA Conference 2022
Zeitraum14/11/2217/11/22

Research Field

  • Road Infrastructure Assessment, Modelling and Safety Evaluation

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