We develop a human driver behavior model (CogMod) based on two complementary cognitive architectures; Queueing Network-Model Human Processor (QN-MHP) and Adaptive Control of Thought - Rational (ACT-R), to represent human cognition while driving. The proposed model can integrate different task-specific analytical driver models under a similar cognitive procedure. The model can simulate variable cognitive processing ability, resulting in different stopping distances in a scenario where the front vehicle brakes sharply when it enters a trigger distance. We evaluate the model based on the distribution of stopping distance with varying cognitive processing time. This approach is useful for modeling non-ego vehicles in scenario-based testing of automated vehicles (AVs).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    CogMod: Simulating Human Information Processing Limitation While Driving


    Contributors:


    Publication date :

    2022-06-05


    Size :

    690834 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Research on the visual information processing while driving

    Uchida, N. / Isaji, N. / Narita, S. et al. | British Library Conference Proceedings | 2005


    DRIVING LIMITATION SYSTEM

    KAMEI MASAMICHI | European Patent Office | 2024

    Free access

    DRIVING LIMITATION SYSTEM

    KAMEI MASAMICHI | European Patent Office | 2021

    Free access

    Driving limitation system

    KAMEI MASAMICHI | European Patent Office | 2022

    Free access

    DRIVING LIMITATION SYSTEM

    KAMEI MASAMICHI | European Patent Office | 2023

    Free access