Seminar on Internet Technologies (Winter 2020 2021): Difference between revisions

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| Passenger flow prediction with machine learning and optimization of public transport schedules
| Passenger flow prediction with machine learning
| You will study existing methods and algorithms used for the prediction of passenger flow in an urban area to determine the demand for buses, trams or trains. Furthermore you will study how this knowledge can be used to optimize the schedules for the public transport systems.
| You will study existing methods and algorithms used for the prediction of passenger flow in an urban area to determine the demand for buses, trams or trains.  
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
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| Yes
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| Optimization of public transport schedules
| You will study techniques and algorithms to optimize the schedules for public transport systems.
| Basic machine learning knowledge, Basic mathematical knowledge (knowledge in mathematical optimization problems can be helpful, but is not mandatory)
| Basic machine learning knowledge, Basic mathematical knowledge (knowledge in mathematical optimization problems can be helpful, but is not mandatory)
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
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