TEAM Applications for Collaborative Road Mobility

Francesco Bellotti, Sven Kopetzki, Riccardo Berta, Pratheep Kumar Paranthaman, Gautam Ravindra Dange, Panagiotis Lytrivis, Angelos J. Amditis, Mattia Raffero, Elina Aittoniemi, Rafael Basso, Ilja Radusch, Alessandro De Gloria

    Research output: Contribution to journalArticleScientificpeer-review

    11 Citations (Scopus)

    Abstract

    The tomorrow's elastic adaptive mobility industrial research project developed eleven collaborative mobility apps addressing various traffic issues and scenarios. The apps, involving different aspects and degrees of collaboration (e.g., direct user participation, shared objectives, coordination, etc.), aim at increasing the driver/traveler awareness and support a better behavior. This paper describes the apps and the underlying system architecture shared by the participating car manufacturers. Then, it provides a user acceptance analysis grouping the apps according to the three main types of users and stakeholders: drivers, travelers, and administrators/operators. Data, collected in five European countries, shows that acceptance and expected impact are positive. The actual road-test experience did not diminish the high expectations raised by an initial presentation on paper, showing a good maturity of the prototypes. The Administrator app cluster shows a slightly better assessment, highlighting the importance of considering collaborative mobility as a system, including road, infrastructure, and traffic management.

    Original languageEnglish
    Article number8395066
    Pages (from-to)1105-1119
    Number of pages15
    JournalIEEE Transactions on Industrial Informatics
    Volume15
    Issue number2
    DOIs
    Publication statusPublished - 1 Feb 2019
    MoE publication typeNot Eligible

    Keywords

    • Automotive applications
    • automotive electronics
    • connected vehicle
    • field tests
    • human-machine interaction
    • mobile apps
    • smart cars

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