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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-20240226113213-1.png|image-20240226113213-1.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
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22	22
23	23	# Related Work/Literature
24	24
25		-*
	27	+*
26	26
27		-[https://reakt.sh/](https://reakt.sh/) *
	29	+[https://reakt.sh/](https://reakt.sh/)
	30	+*
28	28
29	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	30
31	31	# Involved Languages/Technologies
32	32
33		-* Python
	36	+*
34	34
	38	+Python
	39	+
35	35	# Supervised by
36	36
37	37	Alexander Schulz-Rosengarten