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

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

Content

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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 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.
2	2
3		-[[image:position.png]]
	3	+== Overview of topics (WIP) ==
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]
	10	+
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
	13	+* TBA for each topic individually
9	9
10		-==== Consiterations for the Algorithm ====
11		-
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
20		-
21	21	== Scope ==
22	22
23	23	Bachelor's Thesis
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25	25	== Related Work/Literature ==
26	26
27	27	* https://reakt.sh/
28		-* https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading
29	29
30	30	== Involved Languages/Technologies ==
31	31
32		-* Python
	25	+* TBA for each topic individually
33	33
34	34	== Supervised by ==
35	35