| Autor: |
Arnesen, Petter, Malmin, Olav Kåre, Dahl, Erlend |
| Předmět: |
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| Zdroj: |
Transportation; Oct2020, Vol. 47 Issue 5, p2415-2437, 23p, 1 Diagram, 6 Charts, 5 Graphs, 2 Maps |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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