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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| Materialtyp: | Online |
| Språk: | tyska |
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KIT Scientific Publishing
2023
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| Länkar: | https://library.oapen.org/handle/20.500.12657/62535 |
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| _version_ | 1869526503097630720 |
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| author | Tesar, Markus |
| author_browse | Tesar, Markus |
| author_facet | Tesar, Markus |
| author_sort | Tesar, Markus |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-99575 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-995752025-05-27T08:01:17Z Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen Tesar, Markus Straßenbahn; KI; Energie; effizienz; Pünktlichkeit; Modellierung; Light Rail; AI; Energy Efficiency; Punctuality; Modelling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials 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. 2023-04-26T04:35:50Z 2023-04-26T04:35:50Z 2023-04-24T11:20:18Z 2023 book https://library.oapen.org/handle/20.500.12657/62535 9783731512776 https://directory.doabooks.org/handle/20.500.12854/99575 ger Karlsruher Schriftenreihe Fahrzeugsystemtechnik open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/62535/1/deep-reinforcement-learning-zur-steigerung-von-energieeffizienz-und-punktlichkeit-von-strassenbahnen.pdf https://library.oapen.org/bitstream/20.500.12657/62535/1/deep-reinforcement-learning-zur-steigerung-von-energieeffizienz-und-punktlichkeit-von-strassenbahnen.pdf https://library.oapen.org/bitstream/20.500.12657/62535/1/deep-reinforcement-learning-zur-steigerung-von-energieeffizienz-und-punktlichkeit-von-strassenbahnen.pdf https://library.oapen.org/bitstream/20.500.12657/62535/1/deep-reinforcement-learning-zur-steigerung-von-energieeffizienz-und-punktlichkeit-von-strassenbahnen.pdf https://library.oapen.org/bitstream/20.500.12657/62535/1/deep-reinforcement-learning-zur-steigerung-von-energieeffizienz-und-punktlichkeit-von-strassenbahnen.pdf KIT Scientific Publishing 10.5445/KSP/1000155565 10.5445/KSP/1000155565 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512776 AG Universitätsverlage 280 open access |
| spellingShingle | Straßenbahn; KI; Energie; effizienz; Pünktlichkeit; Modellierung; Light Rail; AI; Energy Efficiency; Punctuality; Modelling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials Tesar, Markus Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title | Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title_full | Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title_fullStr | Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title_full_unstemmed | Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title_short | Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen |
| title_sort | deep reinforcement learning zur steigerung von energieeffizienz und punktlichkeit von strassenbahnen |
| topic | Straßenbahn; KI; Energie; effizienz; Pünktlichkeit; Modellierung; Light Rail; AI; Energy Efficiency; Punctuality; Modelling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials |
| topic_facet | Straßenbahn; KI; Energie; effizienz; Pünktlichkeit; Modellierung; Light Rail; AI; Energy Efficiency; Punctuality; Modelling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials |
| url | https://library.oapen.org/handle/20.500.12657/62535 |
| work_keys_str_mv | AT tesarmarkus deepreinforcementlearningzursteigerungvonenergieeffizienzundpunktlichkeitvonstraßenbahnen |