Highlights A concept road model characterizing the road in reality is presented. Analyzing aggressive driving on both the horizontal and vertical planes. Identifying aggressive driving considering both driving safety and comfortability. Aggressive driving is identified in a dynamic and on-line manner. The proposed model is evaluated by a real case in Nanjing, China.

    Abstract Aggressive driving, amongst all driving behaviors, is largely responsible for leading to traffic accidents. With the objective to improve road safety, this paper develops an on-line approach for vehicle running state monitoring and aggressive driving identification, using kinematic parameters captured by the in-vehicle recorder under naturalistic driving conditions. To characterize the roads in reality, a novel road conceptual model is proposed. It accounts for not only the curve on the horizontal plane but also the slope on the vertical plane, as well as the cross slope. For each position where the vehicle is driving, the vehicle motion is decomposed into two circular motions on the horizontal and vertical planes. On each plane, the vehicle maneuver is first identified. Then, aggressive driving is identified according to the limit equilibrium of driving safety or comfortability. Based on the proposed method called “three-elements”, the vehicle maneuver, radius and slope angle on the vertical plane can be solved in an on-line manner. The novel approach is an elaborate analytical model with clear physical meaning but small computation load, and therefore is potential to be implemented in the mobile devices to assist in real-time aggressive driving identification and labeling. The developed approach is applied to a real case on the curved and sloped route in Nanjing, China. Empirical results of extensive experiments, based on the kinematic parameters collected from the in-vehicle data recorder under naturalistic driving conditions, demonstrate that aggressive driving behaviors are mostly found on the pavements with curve and slope, and can be identified by the developed approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    On-line aggressive driving identification based on in-vehicle kinematic parameters under naturalistic driving conditions


    Contributors:
    Ma, Yongfeng (author) / Tang, Kun (author) / Chen, Shuyan (author) / Khattak, Aemal J. (author) / Pan, Yingjiu (author)


    Publication date :

    2020-02-25


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Identification of aggressive driving from naturalistic data in car-following situations

    Kovaceva, Jordanka / Isaksson-Hellman, Irene / Murgovski, Nikolce | Elsevier | 2020




    Analyzing driver behavior under naturalistic driving conditions: A review

    Singh, Harpreet / Kathuria, Ankit | Elsevier | 2020


    Use of Naturalistic Driving Studies for Identification of Vehicle Dynamics

    Reicherts, Sebastian / Hesse, Benjamin / Schramm, Dieter | BASE | 2021

    Free access