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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		-
5	5	# Goals
6	6
7	7	* Develop and implement an algorithm for computing a best-effort projection of a vehicle position on a track
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24	24
25	25	# Related Work/Literature
26	26
27		-*
	25	+*
28	28
29		-[https://reakt.sh/](https://reakt.sh/)
30		-*
	27	+[https://reakt.sh/](https://reakt.sh/) *
31	31
32	32	[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)
33	33
34	34	# Involved Languages/Technologies
35	35
36		-*
	33	+* Python
37	37
38		-Python
39		-
40	40	# Supervised by
41	41
42	42	Alexander Schulz-Rosengarten