Development of a Python Framework for Agent-based Simulation of Autonomous Trucks in Transfer Hub-based Freight Transport [IDP possible]

Institut

Lehrstuhl für Fahrzeugtechnik

Typ

Semesterarbeit /

Inhalt

 

Beschreibung

Motivation

Increasing climate protection requirements and a worsening shortage of drivers pose major challenges for logistics. One concept that addresses both problems simultaneously is a transfer hub-based freight transport, in which highway sections are handled autonomously, but drivers continue to transport goods to and from hubs near highways. By swapping trailers at the hubs, conflicting objectives with regard to range, payload and charging capacity of battery-electric tractor units can also be handled.

A simulation model for hub-based freight transport is currently being developed at the chair. However, current frameworks do not reach the required degree of adaptability while also providing sufficient performance for country-wide simulations.

 

Thesis topic

The goal of this thesis or IDP is the development of a Python framework that enables agent-based simulation at scale, followed by an exemplary usage of the framework   to simulate hub-based freight transport in Germany. For this, existing pre- and postprocessing pipelines can be used. Optionally, you are encouraged to implement own extensions like machine learning-based optimizations.  

 

What you get

• The possibility to benefit from a pioneering role and to make your contribution for shaping the future of logistics
• The opportunity to implement your own ideas
• In case of outstanding work results: the opportunity to co-author a scientific paper

 

Work packages

• Literature research and identification of possible base frameworks that meet the performance requirements of the simulation
• Implementation of a framework and application on the use case of autonomous trucks in hub-based freight transport
• Validation of the model against a simulation that was previously developed at the chair
• Documentation and analysis of the results

Voraussetzungen

• High level of interest and motivation to drive the electrification and automation of the transport sector
• Proficiency in Python, experience in software development is a plus
• Independent and structured way of working
• Very good knowledge of German or English

Tags

FTM Studienarbeit, FTM EV, FTM EV Operations, FTM Bussieweke, FTM Informatik

Möglicher Beginn

sofort

Kontakt

Fabian Bussieweke, M.Sc.
Raum: MW 3511
Tel.: +49 89 289 10410
fabian.bussieweketum.de

Ausschreibung