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.
A forward Markov model for predicting bicycle speed
Transportation ; 47 , 5
2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL: | 74.75$jVerkehrsplanung$jVerkehrspolitik / 55.80$jVerkehrswesen$jTransportwesen: Allgemeines / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik |
A forward Markov model for predicting bicycle speed
Online Contents | 2019
|Bicycle speed measurement equipment, intelligent bicycle and bicycle speed measurement method
Europäisches Patentamt | 2015
|