Version 3.1 by Alexander Schulz-Rosengarten on 2024/02/26 12:25
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1 The REAKT DATA project (<https://reakt.sh/>) includes visualizing rail vehicle positions on the track based on a set of position data from GNNS trackers. These position data are sparse and include errors and variation, yet it can be safely assumed that the rail vehicle will not leave the track in normal operation. Hence, this topic will investigate an algorithm to process the data and project the position of the vehicles onto the track.
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3 # Goals
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5 * Develop and implement an algorithm for computing a best-effort projection of a vehicle position on a track
6 * Evaluate the algorithm (and potential variants of the algorithm) with the real-world data collected on the Malente-Lütjenburg track
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8 #### Consiterations for the Algorithm
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10 * Errors in GNNS data
11 * Gaps in GNNS data (missing network)
12 * Different accuracy of tracking devices (Smartphones vs. dedicated Trackers)
13 * Showing estimates of expected movement or potential location areas
14 * Handling inconsistencies
15 * Unrealistic position jumps
16 * Passing other vehicles (quickly) on single-lane track
17 * Vehicles changing direction without stopping
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19 # Scope
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21 Bachelor's Thesis
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23 # Related Work/Literature
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25 *
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27 [https://reakt.sh/](https://reakt.sh/) *
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29 [https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading](https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading)
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31 # Involved Languages/Technologies
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33 * Python
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35 # Supervised by
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37 Alexander Schulz-Rosengarten
38 [[als@informatik.uni-kiel.de|path:mailto:als@informatik.uni-kiel.de]]