Real-time event-based information collection from street parking

Ali Lattunen, Kari Arvonen, Artem Katasonov, Ville Mikkonen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)


    Efficient parking management requires collecting up-to-date information from parking facilities: sub-area occupancies, vehicle identities, vehicle locations, payments, and other. Considering car parks with access control and zone-specific vehicle counting, there are advanced solutions for collecting this information in high detail. However, the characteristics of street parking make it more challenging to gather such a real-time information repertory. Equipping streets with bay-specific sensors to get occupancy information is both expensive and against the trend of reducing the amount of road-side parking equipment. In this paper, the authors introduce an information system for street parking, which is based on real-time event-based data collection uniformly from both mobile payment and pay-and-display (P&D) machines. This makes it possible to introduce up-to-date guidance concepts for street parking as well as to implement novel methods for online parking enforcement.
    Original languageEnglish
    Title of host publication20th World Congress on Intelligent Transport Systems 2013
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    Event20th World Congress on Intelligent Transport Systems, ITS 2013 - Tokyo, Japan
    Duration: 14 Oct 201318 Oct 2013


    Conference20th World Congress on Intelligent Transport Systems, ITS 2013


    • parking
    • real-time information
    • dynamic guidance


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