Demand for intelligent vehicle safety systems in Europe

    Research output: Contribution to journalArticleScientificpeer-review

    2 Citations (Scopus)

    Abstract

    The demand for four intelligent vehicle safety systems (IVSSs) - emergency braking, speed alert, blind spot monitoring and lane keeping support - is analysed by constructing their demand curves (demand as a function of product price) based on data available from user interviews and a literature study. The study also provides a method for constructing linear and exponential demand curves of the systems from data gathered from user interviews. The estimated linear and exponential demand curves were tested by least-squares fitting to the data collected from user interviews. The mean absolute error was consistently larger for all of the systems studied here when using the linear instead of exponential model. This suggests that the exponential model reflects more accurately the demand for IVSSs than does the linear model.
    Original languageEnglish
    Pages (from-to)916-923
    JournalIET Intelligent Transport Systems
    Volume9
    Issue number10
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Intelligent vehicle highway systems
    Security systems
    demand
    Braking
    interview
    Monitoring
    linear model
    safety system
    vehicle
    Europe
    monitoring

    Keywords

    • Europe
    • emergency braking
    • exponential model
    • least-squares fitting
    • blind spot monitoring
    • speed alert
    • intelligent vehicle safety system demand
    • mean absolute error
    • lane keeping support

    Cite this

    @article{2518186da87b48c2bd396a525704af5d,
    title = "Demand for intelligent vehicle safety systems in Europe",
    abstract = "The demand for four intelligent vehicle safety systems (IVSSs) - emergency braking, speed alert, blind spot monitoring and lane keeping support - is analysed by constructing their demand curves (demand as a function of product price) based on data available from user interviews and a literature study. The study also provides a method for constructing linear and exponential demand curves of the systems from data gathered from user interviews. The estimated linear and exponential demand curves were tested by least-squares fitting to the data collected from user interviews. The mean absolute error was consistently larger for all of the systems studied here when using the linear instead of exponential model. This suggests that the exponential model reflects more accurately the demand for IVSSs than does the linear model.",
    keywords = "Europe, emergency braking, exponential model, least-squares fitting, blind spot monitoring, speed alert, intelligent vehicle safety system demand, mean absolute error, lane keeping support",
    author = "Risto {\"O}{\"o}rni",
    note = "SDA: SHP:TransSmart Project code: 100624",
    year = "2015",
    doi = "10.1049/iet-its.2014.0200",
    language = "English",
    volume = "9",
    pages = "916--923",
    journal = "IET Intelligent Transport Systems",
    issn = "1751-956X",
    publisher = "Institution of Engineering and Technology IET",
    number = "10",

    }

    Demand for intelligent vehicle safety systems in Europe. / Öörni, Risto.

    In: IET Intelligent Transport Systems, Vol. 9, No. 10, 2015, p. 916-923.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Demand for intelligent vehicle safety systems in Europe

    AU - Öörni, Risto

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    AB - The demand for four intelligent vehicle safety systems (IVSSs) - emergency braking, speed alert, blind spot monitoring and lane keeping support - is analysed by constructing their demand curves (demand as a function of product price) based on data available from user interviews and a literature study. The study also provides a method for constructing linear and exponential demand curves of the systems from data gathered from user interviews. The estimated linear and exponential demand curves were tested by least-squares fitting to the data collected from user interviews. The mean absolute error was consistently larger for all of the systems studied here when using the linear instead of exponential model. This suggests that the exponential model reflects more accurately the demand for IVSSs than does the linear model.

    KW - Europe

    KW - emergency braking

    KW - exponential model

    KW - least-squares fitting

    KW - blind spot monitoring

    KW - speed alert

    KW - intelligent vehicle safety system demand

    KW - mean absolute error

    KW - lane keeping support

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