Driving style recognition for co-operative driving: a survey

Anastasia Bolovinou, Angelos Amditis, Francesco Bellotti, Mikko Tarkiainen

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

    Abstract

    This paper serves as a critical survey for automatic driving style recognition approaches and presents "work in progress" ideas that can be used for the development of intelligent context-adaptive driving assistance applications.Furthermore, a preliminary specification of a context-adaptive application that can be described by the following three steps is provided: at first, driving style is automatically classified into one out of a set of predefined classes that are learnt through historic driving and trip data; secondly, based on the driving style recognition a context-adaptive driving application is proposed; thirdly, eco-safe and co-operative driving behaviour can be rewarded by the system by introducing a serious game theoretic approach. While the focus of this paper lies on reviewing the state of the art for implementing the first step, providing the high-level specification of the two other steps offers valuable insight on the requirements of such collaborative driving application.
    Original languageEnglish
    Title of host publicationADAPTIVE 2014 : The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications
    PublisherInternational Academy, Research, and Industry Association IARIA
    Pages73-78
    ISBN (Print)978-1-61208-341-4
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventThe Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014 - Venice, Italy
    Duration: 25 May 201429 May 2014

    Conference

    ConferenceThe Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications, ADAPTIVE 2014
    Abbreviated titleADAPTIVE 2014
    CountryItaly
    CityVenice
    Period25/05/1429/05/14

    Keywords

    • driving behaviour
    • vehicle dynamics
    • time-series analysis
    • supervised learning
    • classification
    • co-operative system

    Fingerprint Dive into the research topics of 'Driving style recognition for co-operative driving: a survey'. Together they form a unique fingerprint.

    Cite this