Abstract Speed prediction of different transport modes is important in applications such as route planning, transport modelling and energy calculations. In this paper we model bicycle speed as a function of slope and horizontal curvature. We developed two models, one with dependence between subsequent observations (a forward Markov model) and one without such a dependence (a generalised linear model). We show through prediction on out-of-sample data that the model including dependence between observations outperforms the model without. To estimate and evaluate our models we use a data set collected using a smart phone application. The data collected includes different sources of error, and therefore we introduce various filtering methods to make the data more appropriate for statistical analysis and model estimation.


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    Title :

    A forward Markov model for predicting bicycle speed


    Contributors:

    Published in:

    Publication date :

    2019




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    BKL:    74.75$jVerkehrsplanung$jVerkehrspolitik / 55.80$jVerkehrswesen$jTransportwesen: Allgemeines / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik



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