Using smartphones in cities to crowdsource dangerous road sections and give effective in-car warnings

Mark D Dunlop, Marc Roper, Mark Elliott, Rebecca McCartan, Bruce McGregor

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

7 Citations (Scopus)
93 Downloads (Pure)


The widespread day-to-day carrying of powerful smartphones gives opportunities for crowd-sourcing information about the users' activities to gain insight into patterns of use of a large population in cities. Here we report the design and initial investigations into a crowdsourcing approach for sudden decelerations to identify dangerous road sections. Sudden brakes and near misses are much more common than police reportable accidents but under exploited and have the potential for more responsive reaction than waiting for accidents. We also discuss different multimodal feedback conditions to warn drivers approaching a dangerous zone. We believe this crowdsourcing approach gives cost and coverage benefits over infrastructural smart-city approaches but that users need incentivized for use.
Original languageEnglish
Title of host publicationProceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX
Place of PublicationNew York
Number of pages5
ISBN (Electronic)978-1-4503-4194-3
Publication statusPublished - 13 May 2016
EventSEACHI: Smart Cities for Better Living with HCI and UX - San Jose, United States
Duration: 7 May 201612 May 2016


Country/TerritoryUnited States
CitySan Jose
Internet address


  • smart cities
  • driving interfaces
  • crowdsourcing
  • smartphones
  • public policy issues
  • human safety

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