Advanced driver assistance and automated driving can influence traffic safety in a variety of ways. Development and implementation of safety-relevant functions require prospective, quantitative assessment of their traffic safety impacts. Both benefits and risks can be quantified using simulation-based virtual experimental techniques. To this end, traffic phenomena are modeled taking into account key safety-relevant processes and "stochastic" simulation is performed on large, representative virtual samples. The virtual representations of traffic phenomena are based on detailed, stochastic models of drivers, vehicles, traffic flow, and the road environment, together with their interactions. The models incorporate knowledge from FOT, NDS, laboratory and driving simulator experiments, and other sources. Large-scale, comprehensive simulations could help in identifying and evaluating the relevant situations in which automated driving impacts traffic safety. The goal is a standardized harmonized methodology, agreed upon by all stakeholders, for holistic assessment of the impact of new driver assistance or automatic driving functions on traffic safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Safety Performance Assessment of Assisted and Automated Driving by Virtual Experiments: Stochastic Microscopic Traffic Simulation as Knowledge Synthesis


    Contributors:
    Helmer, Thomas (author) / Wang, Lei (author) / Kompass, Klaus (author) / Kates, Ronald (author)


    Publication date :

    2015-09-01


    Size :

    168157 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Virtual safety performance assessment for automated driving in complex urban traffic scenarios

    Brunner, Pascal / Denk, Florian / Huber, Werner et al. | IEEE | 2019



    Microscopic traffic simulation based evaluation of highly automated driving on highways

    Bahram, Mohammad / Ghandeharioun, Zahra / Zahn, Peter et al. | IEEE | 2014


    Cyclist Safety in Urban Automated Driving - Sub-Microscopic HIL Simulation

    Pechinger, Mathias / Schroer, Guido / Bogenberger, Klaus et al. | IEEE | 2021