Summary

• Page properties (2 modified, 0 added, 0 removed)
• Attachments (0 modified, 0 added, 2 removed)
  • image-20240912102452-3.jpeg
  • image-20240912102840-4.jpeg

Details

Page properties

Title

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

Content

...	...	@@ -1,63 +1,35 @@
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.
	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		-[[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]]
	3	+[[image:position.png]]
4	4
5		-== Overview of topics (WIP) ==
	5	+== Goals ==
6	6
7		-All solutions should be scalable for both demonstrators!
	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		-~1. An end-user app and management system for on-demand train service [Maybe split into two topics]
	10	+==== Consiterations for the Algorithm ====
10	10
11		-* App to call a train to a desired location and communicate desired destination
12		-* Locations drawn from GNSS and appropriate abstraction in 1:32 scale
13		-* Management of multiple trains on a single track line
14		-* Schedules for cooperative passenger pick up
15		-* Provisions for passenger transfer on open track
16		-* Either based on a central or decentralized communication concept
	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		-2. An autonomous train controller with risk analysis using STPA
19		-
20		-* Control of an autonomous passenger train model (conceptually working for both demonstrators)
21		-* Capability for passenger transfer on open track (safe docking procedure)
22		-* Risk analysis for the controller using STPA
23		-* Safe behavior model generation using PASTA?
24		-* Assumes preprocessed sensor input and destination determination (see other topics)
25		-
26		-3. AI-based image recognition for autonomous train control [In cooperation with AG Distributed Systems]
27		-
28		-* Sensor processing of a train mounted camera
29		-* Obstacle detection at speeds up to 50 km/h
30		-* [Optional] Distance measuring using multiple cameras
31		-
32		-4. AI-based sensor processing for autonomous train control [In cooperation with AG Distributed Systems]
33		-
34		-* Sensor processing of train mounted LiDAR or ultrasonic sensor
35		-* Obstacle detection at speeds up to 50 km/h
36		-* Distance measuring (ultrasonic sensor)
37		-
38		-5. A digital twin for an autonomous on-demand train service [Tight interfacing with other topics]
39		-
40		-* A digital twin for an autonomous passenger train
41		-* Monitoring system for the state and location of the vehicle
42		-* Remote control capabilities
43		-* Monitoring and economic analysis of on-demand service operation [Integration of management system]
44		-* Reliability analysis to ensure transparency of autonomous operation
45		-
46		-== Goals ==
47		-
48		-* TBA for each topic individually
49		-
50	50	== Scope ==
51	51
52		-Bachelor's or Master's Thesis, with varying requirements to scientific scope.
	23	+Bachelor's Thesis
53	53
54	54	== Related Work/Literature ==
55	55
56	56	* https://reakt.sh/
	28	+* https://github.com/kieler/RailTrail/wiki/Data-processing#computation-of-vehicle-position-speed-and-heading
57	57
58	58	== Involved Languages/Technologies ==
59	59
60		-* TBA for each topic individually
	32	+* Python
61	61
62	62	== Supervised by ==
63	63

image-20240912102452-3.jpeg

Author

...	...	@@ -1,1 +1,0 @@
1		-XWiki.als

Size

...	...	@@ -1,1 +1,0 @@
1		-362.3 KB

Content

image-20240912102840-4.jpeg

Author

...	...	@@ -1,1 +1,0 @@
1		-XWiki.als

Size

...	...	@@ -1,1 +1,0 @@
1		-148.4 KB

Content