[REAKT] Project REAKTOR

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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 rail vehicle, the **REAKTOR**, to flexibly provide on-demand service on single track lines. A prototype will be build in 1:32 scale for 45 mm gauge, as well as a full scale version for the railway track Malente-Lütjenburg.

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[[image:image-20240912102452-3.jpeg||height="219" width="292"]][[image:image-20240912102840-4.jpeg||height="217" width="264"]]

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//(left) a railbike, the foundation of the upcoming autonomous draisine & (right) a stripped down [[LGB>>https://www.lgb.de/lp/20/willkommen-bei-lgb]] engine for a 45mm model track.//

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== Overview of topics (WIP) ==

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**The solutions in all topics must be scalable for both demonstrators!**

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~1. An end-user app and management system for on-demand train service

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// This topic may be split up into two theses (app & management)//

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* A mobile app to call a train to a desired location and communicate desired destination

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* Locations drawn from GNSS and appropriate abstraction for 1:32 scale for station-less entry or predefined locations

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* Management of multiple on-demand trains on a single track line

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* Schedules for cooperative passenger pick up

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* Provisions for passenger transfer on open track ("Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]])

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* The inter train communication concept maybe based on a central or decentralized structure

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2. An autonomous train controller with risk analysis using STPA

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* Control of an autonomous passenger train model (conceptually working for both demonstrators)

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* Capability for passenger transfer on open track (safe docking procedure; "Begegnungsverkehr", see concept art [[here>>https://cloud.rz.uni-kiel.de/index.php/s/ZMZSoLTerJCJi7L]])

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* Risk analysis for the controller using STPA ([[http:~~/~~/psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf>>url:http://psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf]])

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* Safe behavior model generation using PASTA ([[https:~~/~~/marketplace.visualstudio.com/items?itemName=kieler.pasta>>https://marketplace.visualstudio.com/items?itemName=kieler.pasta]])

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* Assumes preprocessed sensor input and destination determination (see other topics)

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3. AI-based image recognition for autonomous train control

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// This topic will be jointly advised with the AG Distributed Systems//

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* Sensor processing of a train mounted camera

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* Obstacle detection at speeds up to 50 km/h

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* Potential hardware (subject to changes):

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** [[https:~~/~~/www.raspberrypi.com/documentation/accessories/camera.html>>https://www.raspberrypi.com/documentation/accessories/camera.html]]

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** (((

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https:~/~/www.axis.com/de-de/products/axis-p1455-le

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* [Optional] Distance measuring using multiple cameras

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4. AI-based sensor processing for autonomous train control

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// This topic will be jointly advised with the AG Distributed Systems//

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* Sensor processing of train mounted LiDAR or ultrasonic sensor

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* Potential hardware (subject to changes):

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** [[https:~~/~~/www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm>>https://www.elektronik-kompendium.de/sites/praxis/bauteil_ultrasonic-hcsr04p.htm]]

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** [[https:~~/~~/www.pi-shop.ch/lidar-ld06-lidar-module-with-bracket-entwicklungskit-fuer-raspberry-pi-sbc>>https://www.pi-shop.ch/lidar-ld06-lidar-module-with-bracket-entwicklungskit-fuer-raspberry-pi-sbc]]

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** (((

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https:~/~/www.blickfeld.com/de/produkte/cube-1/

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* Obstacle detection at speeds up to 50 km/h

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* Distance measuring (ultrasonic sensor)

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