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1		-[REAKT] WIP Project REAKTOR
	1	+[REAKT] Projecting Irregular Vehicle Positions on Tracks

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1		-Theses.Current Theses.WebHome
	1	+Theses.Topics for Student Theses.WebHome

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1		-The REAKT project (https://reakt.sh/ & https://www.schiene-m-l.de/) aims at developing new mobility concepts to reactivate rural rail lines. This project will evolve around developing an autonomous on-demand rail vehicle aber to flexibly provide service on single track lines. A prototype will be build in 1:32 scale as well as a full scale version.
	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		-== Overview of topics (WIP) ==
	3	+![[position.png|image:attach:position.png]]
4	4
5		-1. A digital twin for an autonomous on-demand train service
6		-2. An autonomous train controller with risk analysis using STPA
7		-3. A digital twin for an autonomous on-demand train service
8		-4. AI-based image recognition for autonomous train control [in cooperation with AG Distributed Systems]
9		-5. AI-based sensor processing for autonomous train control [in cooperation with AG Distributed Systems]
	5	+# Goals
10	10
11		-== Goals ==
	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
12	12
13		-* TBA for each topic individually
	10	+#### Consiterations for the Algorithm
14	14
15		-== Scope ==
	12	+* Errors in GNNS data
	13	+* Gaps in GNNS data (missing network)
	14	+* Different accuracy of tracking devices (Smartphones vs. dedicated Trackers)
	15	+* Showing estimates of expected movement or potential location areas
	16	+* Handling inconsistencies
	17	+ * Unrealistic position jumps
	18	+ * Passing other vehicles (quickly) on single-lane track
	19	+ * Vehicles changing direction without stopping
16	16
	21	+# Scope
	22	+
17	17	Bachelor's Thesis
18	18
19		-== Related Work/Literature ==
	25	+# Related Work/Literature
20	20
21		-* https://reakt.sh/
	27	+*
22	22
23		-== Involved Languages/Technologies ==
	29	+[https://reakt.sh/](https://reakt.sh/) *
24	24
25		-* TBA for each topic individually
	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)
26	26
27		-== Supervised by ==
	33	+# Involved Languages/Technologies
28	28
	35	+* Python
	36	+
	37	+# Supervised by
	38	+
29	29	Alexander Schulz-Rosengarten
30		-[[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]]
	40	+[[als@informatik.uni-kiel.de|path:mailto:als@informatik.uni-kiel.de]]