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

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

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Poster Presentationpeer-review

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.
Original languageEnglish
Title of host publicationTransportation Research Procedia
PublisherElsevier BV
Pages735-742
Number of pages8
VolumeVolume 72
DOIs
Publication statusPublished - 2022
EventTransport Research Arena TRA Conference 2022 -
Duration: 14 Nov 202217 Nov 2022

Conference

ConferenceTransport Research Arena TRA Conference 2022
Period14/11/2217/11/22

Research Field

  • Road Infrastructure Assessment, Modelling and Safety Evaluation

Keywords

  • Automated Vehicles
  • Connected Vehicles
  • Intelligent Transportation Systems
  • Digital Maps
  • Real Time Information

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