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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Lecture Notes in Civil Engineering



    Conference:

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



    Publication date :

    2022-09-29


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English