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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]]
	3	+![[position.png|image:attach:position.png]]
4	4
5	5	# Goals
6	6
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7	7	* Develop and implement an algorithm for computing a best-effort projection of a vehicle position on a track
8	8	* Evaluate the algorithm (and potential variants of the algorithm) with the real-world data collected on the Malente-Lütjenburg track
9	9
10		- Consiterations for the Algorithm
	10	+#### Consiterations for the Algorithm
11	11
12	12	* Errors in GNNS data
13	13	* Gaps in GNNS data (missing network)
...	...	@@ -14,9 +14,9 @@
14	14	* Different accuracy of tracking devices (Smartphones vs. dedicated Trackers)
15	15	* Showing estimates of expected movement or potential location areas
16	16	* Handling inconsistencies
17		-* Unrealistic position jumps
18		-* Passing other vehicles (quickly) on single-lane track
19		-* Vehicles changing direction without stopping
	17	+ * Unrealistic position jumps
	18	+ * Passing other vehicles (quickly) on single-lane track
	19	+ * Vehicles changing direction without stopping
20	20
21	21	# Scope
22	22
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24	24
25	25	# Related Work/Literature
26	26
27		-* https://reakt.sh/
28		-* https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading
	27	+*
29	29
	29	+[https://reakt.sh/](https://reakt.sh/) *
	30	+
	31	+[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)
	32	+
30	30	# Involved Languages/Technologies
31	31
32	32	* Python
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34	34	# Supervised by
35	35
36	36	Alexander Schulz-Rosengarten
37		-[[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]]
	40	+[[als@informatik.uni-kiel.de|path:mailto:als@informatik.uni-kiel.de]]