For a proper simulation of urban traffic scenarios, besides cars other road users, namely bicycles and pedestrians, have to be modeled. In scenarios where a whole city is modeled, a detailed actor-based simulation of pedestrians leads to expensive extra computational load. It was investigated to what extent it is possible to capture traffic effects imposed by simulated pedestrians and then perform simulations without pedestrians. It is proposed to collect information about pedestrian impacts in a simulation with pedestrians, estimate underlying probability distributions and finally, use a simplified model where only these effects are generated probabilistically. Two approaches have been investigated - a best-fit distribution fitting and a histogram-based distribution approximation - using synthetic data as well as simulated traffic scenarios. The experiments show that using the proposed approximations can lead to similar average cars' travel times. The best-fit approach has been additionally evaluated using synthetic data. The evaluation has shown that when using sample sizes of 20 that Gaussian and uniform probability distributions are mistaken in many cases, while with increasing sample sizes the distribution types can be distinguished with higher accuracies. The experiments approximating pedestrian effects in traffic simulation have shown that both approaches, bestfit distribution fitting and the histogram-based approach, exhibit similar mean travel times. The mean differences regarding the observed average travel times in comparison to the simulation with pedestrians are 2.06s and 2.21s. The approximation approaches are overestimating the mean travel times but the differences are smaller than not taking into account pedestrians at all (3.15s). Using this approximation leads to an about two times faster simulation as detailed pedestrian behavior needs not to be computed. The proposed approach could also be used to extend other traffic simulation systems if the approximated effects of pedestrian travels are integrated.


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    Title :

    Approximation of pedestrian effects in urban traffic simulation by distribution fitting




    Publication date :

    2012


    Size :

    7 Seiten, 4 Bilder, 3 Tabellen, 18 Quellen


    Remarks:

    (nicht paginiert)



    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English





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