Method and arrangement for predicting switching times of a signal group of a signal installation for controlling a flow of traffic

US12243421B2 · kind B2 · utility

Assignee

• Yunex LLC · DE

Inventors

• Harald Frank · Höhenkirchen-Siegertsbrunn, DE
• Michel Tokic · Tettnang, DE
• Marc Christian Weber · Munich, DE

Key dates

• Filing date: Nov 10, 2020
• Grant date: Mar 4, 2025
• Expiry date: Sep 12, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Real state information, which influences the switching times of a light signal system, is supplied as input signals to a first neural network in a fixed time cycle. The first neural network calculates estimated state information as a replacement for real state information or parts of the real state information which are not received in good time or are received incorrectly in the fixed time cycle. This estimated state information is output to artificial intelligence which predicts the switching times. The first neural network allows the artificial intelligence to also make good predictions for the switching times of signal groups when one of the many communication paths involved fails or is overloaded. It is therefore possible to predict signal group states in the fixed time cycle in real time with a high degree of robustness and tolerance with respect to gaps in the time cycle of the real state information provided.