<
From version < 3.1 >
edited by Alexander Schulz-Rosengarten
on 2024/02/26 12:25
To version < 14.1 >
edited by Alexander Schulz-Rosengarten
on 2024/02/26 12:46
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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.
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.
2 2  
3 +[[image:position.png]]
4 +
3 3  # Goals
4 4  
5 5  * Develop and implement an algorithm for computing a best-effort projection of a vehicle position on a track
6 6  * Evaluate the algorithm (and potential variants of the algorithm) with the real-world data collected on the Malente-Lütjenburg track
7 7  
8 -#### Consiterations for the Algorithm
10 + Consiterations for the Algorithm
9 9  
10 10  * Errors in GNNS data
11 11  * Gaps in GNNS data (missing network)
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12 12  * Different accuracy of tracking devices (Smartphones vs. dedicated Trackers)
13 13  * Showing estimates of expected movement or potential location areas
14 14  * Handling inconsistencies
15 - * Unrealistic position jumps
16 - * Passing other vehicles (quickly) on single-lane track
17 - * Vehicles changing direction without stopping
17 +* Unrealistic position jumps
18 +* Passing other vehicles (quickly) on single-lane track
19 +* Vehicles changing direction without stopping
18 18  
19 19  # Scope
20 20  
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22 22  
23 23  # Related Work/Literature
24 24  
25 -*
27 +* https://reakt.sh/
28 +* https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading
26 26  
27 -[https://reakt.sh/](https://reakt.sh/) *
28 -
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)
30 -
31 31  # Involved Languages/Technologies
32 32  
33 33  * Python
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35 35  # Supervised by
36 36  
37 37  Alexander Schulz-Rosengarten
38 -[[als@informatik.uni-kiel.de|path:mailto:als@informatik.uni-kiel.de]]
37 +[[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]]
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