Align a trace of GPS measurements to a map or road segments.
The matching is based on a Hidden Markov Model (HMM) with non-emitting states. The model can deal with missing data and you can plug in custom transition and emission probability distributions.
Meert Wannes, Mathias Verbeke, "HMM with Non-Emitting States for Map Matching", European Conference on Data Analysis (ECDA), Paderborn, Germany, 2018.
Devos Laurens, Vandebril Raf (supervisor), Meert Wannes (supervisor), "Trafﬁc patterns revealed through matrix functions and map matching", Master thesis, Faculty of Engineering Science, KU Leuven, 2018
pip install leuvenmapmatching
More information and examples:
Optional (only loaded when methods are called to rely on these packages):
Developed with the support of Elucidata.be.
Copyright 2015-2018, KU Leuven - DTAI Research Group, Sirris - Elucidata Group
Apache License, Version 2.0.