Buchumschlag

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...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser: Tesar, Markus
Format: Online
Sprache:Deutsch
Veröffentlicht: KIT Scientific Publishing 2023
Schlagworte:
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
Online-Zugang:https://library.oapen.org/handle/20.500.12657/62535
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!
Zusammenfassung: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.

Ähnliche Einträge