Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
This work investigates how the energy efficiency and punctuality of streetcars can be increased by using AI. The AI is trained on two scenarios at three traffic times each. The determined driving profiles are compared with those of drivers from regular passenger operation as well as with a theoretic...
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| Format: | Electronic Book Chapter |
| Published: |
KIT Scientific Publishing
2023
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| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
20 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 520 | |a This work investigates how the energy efficiency and punctuality of streetcars can be increased by using AI. The AI is trained on two scenarios at three traffic times each. The determined driving profiles are compared with those of drivers from regular passenger operation as well as with a theoretical optimum determined by Dynamic Programming. In addition, transfer learning capabilities of the AI will be investigated. | ||
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| 546 | |a German | ||
| 650 | 7 | |a Mechanical engineering & materials |2 bicssc | |
| 653 | |a Straßenbahn; KI; Energie; effizienz; Pünktlichkeit; Modellierung; Light Rail; AI; Energy Efficiency; Punctuality; Modelling | ||
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