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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 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		-== Goals ==
	5	+All solutions should be scalable for both demonstrators!
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
	7	+~1. An end-user app and management system for on-demand train service [Maybe split into two topics]
9	9
10		-==== Consiterations for the Algorithm ====
	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
11	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
	16	+2. An autonomous train controller with risk analysis using STPA
20	20
	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)
	23	+
	24	+3. 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	+4. 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	+5. 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	+
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
	58	+* TBA for each topic individually
33	33
34	34	== Supervised by ==
35	35