leuvenmapmatching 0.5.1

Match a trace of locations to a map

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.

example

Reference:

Meert Wannes, Mathias Verbeke, “HMM with Non-Emitting States for Map Matching”, European Conference on Data Analysis (ECDA), Paderborn, Germany, 2018.

Installation and usage

$ pip install leuvenmapmatching

More information and examples:

leuvenmapmatching.readthedocs.io

Dependencies

Required:

• numpy

• scipy

Optional (only loaded when methods are called to rely on these packages):

• matplotlib: For visualisation

• smopy: For visualisation

• nvector: For latitude-longitude computations

• gpxpy: To import GPX files

• pykalman: So smooth paths using a Kalman filter

• pyproj: To project latitude-longitude coordinates to an XY-plane

• rtree: To quickly search locations

Contact

Wannes Meert, DTAI, KU Leuven

[e-mail]

https://dtai.cs.kuleuven.be

Mathias Verbeke, Sirris

[e-mail]

http://www.sirris.be/expertise/data-innovation

Developed with the support of Elucidata.be.

License

Copyright 2015-2018, KU Leuven - DTAI Research Group, Sirris

Apache License, Version 2.0.