University of Twente Student Theses
Predicting traffic flow with machine learning
Noorlander, M.S. (2021) Predicting traffic flow with machine learning.
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| Abstract: | This work describes a way of predicting traffic flow with machine learning. To accomplish this goal, several research questions have been created. These are Q1: What machine learning techniques can be used to accurately predict traffic flow? Q2: How can we use the predicted traffic flow to avoid congestion? Q3: What is the influence of non-cooperative vehicles on this model? The first question will be used to select the most accurate technique from an LSTM, GRU or CNN. The technique can be used to create a rerouting mechanism in SUMO to prevent congestion. Finally the work describes ways to evaluate the effect of non-cooperative vehicles on the rerouting mechanism to test the effectiveness on a more realistic scenario. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/85689 |
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