This paper presents an overview of the use of Artificial Intelligence (AI)/Machine Learning (ML) applications in the Autonomous Train Technology Market including passenger and freight trains. This paper will also discuss extending the Autonomous Train Technology into the Autonomous Trolley and Bus Markets.
This paper describes how, on train wagons, the AI/ML applications can be connected to a single Gigabit Ethernet network that uses CIP. This network connects all sensors, controllers, and actuators in the wagons, as well as wired and wireless entertainment, and feeds the information to the AI/ML applications.
Though the Artificial Intelligence/Machine Learning (AI/ML) subjects (Reasoning with Uncertainty, Autonomous Path Planning, Collision Avoidance, Swarm Technology, Sensor Fusion, etc.) are used to support the use cases of Train, Trolleys.
This paper will describe the following:
- The top impacting factors of the autonomous train technology market including its Compound Annual Growth Rate (CAGR), and the regions it is being widely adopted.
- Describe the Concept of the following Grade of Automation (GoA) pertaining the trains, trolleys, and busses:
- Describe Autonomous Train, Trolly Use Cases with benefits:
- Assisted Operation
- Driverless Depot Operation
- Driverless Vehicle Stabling and Provision
- Driverless operation on Specific Sections
- Fully Automated Operation on Entire Lines
- Additional autonomous benefits
Author
George Ditzel, Schneider Electric
