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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	+# ![[image-20240226113213-1.png|image-20240226113213-1.png]]
2	2
3		-![[image-20240226113213-1.png|image-20240226113213-1.png]]
4		-
5	5	# Goals
6	6
7		-* Develop and implement an algorithm for computing a best-effort projection of a vehicle position on a track
8		-* Evaluate the algorithm (and potential variants of the algorithm) with the real-world data collected on the Malente-Lütjenburg track
	5	+* Develop and implement and algorithm for computing a best-effort projection of a vehicle position on a track
	6	+* Evaluate the algorithm (and potential variations) with the real-world data collected in the Malente-Lütjenburg track
9	9
10		-#### Consiterations for the Algorithm
	8	+### Consiterations for the Algorithm
11	11
12		-* Errors in GNNS data
13		-* Gaps in GNNS data (missing network)
	10	+* Errors in GPS data
	11	+* Gaps in GPS data (missing network)
14	14	* Different accuracy of tracking devices (Smartphones vs. dedicated Trackers)
15		-* Showing estimates of expected movement or potential location areas
	13	+* Projection of expected movement or potential location areas
16	16	* Handling inconsistencies
17	17	* Unrealistic position jumps
18	18	* Passing other vehicles (quickly) on single-lane track
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29	29	[https://reakt.sh/](https://reakt.sh/)
30	30	*
31	31
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)
	30	+[https://github.com/kieler/RailTrail](https://github.com/kieler/RailTrail)
33	33
34	34	# Involved Languages/Technologies
35	35