Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Inferring driver intentions using a driver model based on queuing network


    Contributors:
    Bi, Luzheng (author) / Yang, Xuerui (author) / Wang, Cuie (author)


    Publication date :

    2013-06-01


    Size :

    568347 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English