Traffic Dynamics in Multi-Agent Pathfinding: Analysis and Development of Congestion Mitigation Strategies
- Forschungsthema/Bereich
- Mobile Agents and Robotic Systems
- Typ der Abschlussarbeit
- Bachelor / Master
- Startzeitpunkt
- 01.11.2025
- Bewerbungsschluss
- 30.04.2026
- Dauer der Arbeit
- 6 Monate
Beschreibung
Field:Mobile robotics is one of the fastest-growing and most dynam-ic areas in intralogistics. As fleet sizes rapidly increase, the challenge shifts from single-robot navigation to large-scale, cooperative fleet coordination. Ensuring smooth traffic flow, avoiding congestion, and maintaining high system throughput becomes increasingly challeng-ing. At the IFL, we are at the forefront of this development, actively contributing to the industry standard VDA 5050, which defines com-munication between mobile robots and fleet management systems.Problem Statement:
State-of-the-art Multi-Agent Pathfinding (MAPF) algorithms offer different design principles to coordinate mobile robot fleets, but these principles introduce conflicts when applied to large fleets and dense environments. This thesis focuses on a systematic, simulation-based evaluation of several representative MAPF algo-rithms under varying fleet sizes and layouts. The goal is to identify recurring congestion patterns, scalability limits, and coordination inef-ficiencies arising from their inherent design choices. Based on these insights, the thesis aims to develop and formalize concepts that miti-gate the identified conflicts and improve the overall system through-put.
Voraussetzung
- Voraussetzungen an Studierende
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- Experience with Python or a similar programming language.
- Basic understanding of pathfinding or graph algorithms (e.g., A*, Dijkstra) is beneficial.
- Problem-solving mindset and an independent working style.
- Studiengangsbereiche
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- Ingenieurwissenschaften
Informatik
Maschinenbau
Mechatronik & Informationstechnik
Mechanical Engineering - Wirtschafts- und Rechtswissenschaften
Wirtschaftsinformatik
Wirtschaftsingenieurwesen
- Ingenieurwissenschaften
Betreuung
- Titel, Vorname, Name
- M. Sc. Marvin Rüdt
- Organisationseinheit
- Institute for Material Handling and Logistics (IFL)
- E-Mail Adresse
- marvin.ruedt@kit.edu
- Link zur eigenen Homepage/Personenseite
- Website
Bewerbung per E-Mail
- Bewerbungsunterlagen
-
- Lebenslauf
- Notenauszug
E-Mail Adresse für die Bewerbung
Senden Sie die oben genannten Bewerbungsunterlagen bitte per Mail an marvin.ruedt@kit.edu
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