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This thesis offers you the opportunity to engage in cutting-edge research that combines data analytics, simulation, and visualization to address real-world challenges in traffic management and automated system.
An Automated Guided Vehicle (AGV) system is a fleet of mobile robots that automatically transport goods in a network of fixed virtual roads, designed according to the specification of the warehouse. Understanding traffic congestion dynamics is crucial for optimizing AGV operations and improving overall system efficiency. By analyzing simulation data and visualizing congestion patterns, we can pinpoints areas of improvement and develop strategies to enhance traffic flow within AGV networks.
This thesis aims to develop a comprehensive system for extracting and visualizing simulation data to better understand and represent the dynamics of traffic congestion in simulated environments.
1
Bachelor
Thesis is to be written in English
August 2024
Kollmorgen Automation Office in Mölndal, Sweden
We will provide computers and you will get great support from your supervisor and other colleagues!
All students are compensated after the thesis is submitted and the final work meets the quality standard that is generally accepted by the university and presented at Kollmorgen.
Send in your application by submitting a CV and/or information about your studies and a short sentence about why you find this project interesting. If you get selected, the next step will be to have discussions with us to finalize the idea . Selection takes place on an ongoing basis, welcome with your application!
If you have any questions about the thesis, you are welcome to contact
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