This study aims to explore the range of driving patterns and the habitual driving styles exhibited by 33 professional HPV drivers. The driving data is collected using a high-frequency (10 Hz) GPS device for multiple trips in a naturalistic environment. The data is segmented as events of accelerations and decelerations and a similar pattern of events is identified using the K-means clustering technique. Further, the principal component analysis revealed that the identified five driving patterns are characterized by the level of acceleration/deceleration behavior, speed behavior and speed consistency during the maneuver. The results show that, each driving pattern represents a unique driving behavior and drivers are exhibiting a minimum of three patterns within the driving period. The proportion of patterns are changing within and among the individuals showing intra-driver and inter-driver behavioral variability. The study insights are useful in developing driver specific safety models accounting for the heterogeneity in driving patterns.


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    Titel :

    Identifying Habitual Driving Styles of Heavy Passenger Vehicle Drivers Using Driving Profile Data


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Devi, Lelitha (Herausgeber:in) / Errampalli, Madhu (Herausgeber:in) / Maji, Avijit (Herausgeber:in) / Ramadurai, Gitakrishnan (Herausgeber:in) / Yarlagadda, Jahnavi (Autor:in) / Pawar, Digvijay S. (Autor:in)

    Kongress:

    Conference of Transportation Research Group of India ; 2021 December 14, 2021 - December 17, 2021



    Erscheinungsdatum :

    29.09.2022


    Format / Umfang :

    22 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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