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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	+[[image:position.png]]
4	4
5		-All solutions should be scalable for both demonstrators!
	5	+# Goals
6	6
7		-~1. An end-user app and management system for on-demand train service [Maybe split into two topics]
	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
8	8
9		-* App to call a train to a desired location and communicate desired destination
10		-* Locations drawn from GNSS and appropriate abstraction in 1:32 scale
11		-* Management of multiple trains on a single track line
12		-* Schedules for cooperative passenger pick up
13		-* Provisions for passenger transfer on open track
14		-* Either based on a central or decentralized communication concept
	10	+ Consiterations for the Algorithm
15	15
16		-2. An autonomous train controller with risk analysis using STPA
	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
17	17
18		-* Control of an autonomous passenger train model (conceptually working for both demonstrators)
19		-* Capability for passenger transfer on open track (safe docking procedure)
20		-* Risk analysis for the controller using STPA
21		-* Safe behavior model generation using PASTA?
22		-* Assumes preprocessed sensor input and destination determination (see other topics)
	21	+# Scope
23	23
24		-4. AI-based image recognition for autonomous train control [In cooperation with AG Distributed Systems]
25		-
26		-* Sensor processing of a train mounted camera
27		-* Obstacle detection at speeds up to 50 km/h
28		-* [Optional] Distance measuring using multiple cameras
29		-
30		-5. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems]
31		-
32		-* Sensor processing of train mounted LiDAR or ultrasonic sensor
33		-* Obstacle detection at speeds up to 50 km/h
34		-* Distance measuring (ultrasonic sensor)
35		-
36		-3. A digital twin for an autonomous on-demand train service [Heavy interfacing with other topics]
37		-
38		-* A digital twin for an autonomous passenger train
39		-* Monitoring system for the state and location of the vehicle
40		-* Remote control capabilities
41		-* Monitoring and economic analysis of on-demand service operation [Integration of management system]
42		-* Reliability analysis to ensure transparency of autonomous operation
43		-
44		-== Goals ==
45		-
46		-* TBA for each topic individually
47		-
48		-== Scope ==
49		-
50	50	Bachelor's Thesis
51	51
52		-== Related Work/Literature ==
	25	+# Related Work/Literature
53	53
54	54	* https://reakt.sh/
	28	+* https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading
55	55
56		-== Involved Languages/Technologies ==
	30	+# Involved Languages/Technologies
57	57
58		-* TBA for each topic individually
	32	+* Python
59	59
60		-== Supervised by ==
	34	+# Supervised by
61	61
62	62	Alexander Schulz-Rosengarten
63	63	[[als@informatik.uni-kiel.de>>mailto:als@informatik.uni-kiel.de]]