Road to Full Autonomous Train

The capacity of today’s railway network is limited because of the block segmentation which provides only discrete train slots and which has grown and evolved historically. Helping our customer to use the maximum capacity of their existing network and increasing the throughput is our target.

With train autonomy, the operator can reach much higher capacity using their existing network, by moving more trains in the same network infrastructure, thanks to the satellite positioning and next generation on-board sensing, which enable functionalities like virtual coupling, obstacle detection, continuous train positioning and of course safely driving the train closer to each other.

Operating much higher number of trains will result in taking care of a better organization of the trains flow! In this context, the next generation traffic management system will play its key role which is to orchestrate the network flow of moving objects and organize the mobility of the end users.

The train orchestrator will manage the network throughout all regular traffic situations but also improve and solve conflicts and incidents emerging on the network in real time. These deviations from schedule could be impacting more when more trains are moving along the network. Autonomous operation will adapt and increase the network capacity when needed during special events for multi modal mobility. With all these advantages autonomy operation can bring to the end users, there are different challenges to reach the full autonomous operations which are driven by technology, people acceptance and regulations.

At the IoT – Connected Smart Cars and Vehicles Forum we are going to present the definition of autonomous train and focus on the different challenges around it, in terms of operational use cases. In addition, we will explain how the railway industry is becoming more digital and keeping the safety and cyber security as the first priority, thereby providing safe, secure, comfortable, convenient end to end mobility to passengers, freight and ideas. Request the full agenda here.

By Dr Amine AREZKI

Dr. Amine AREZKI has a PhD in Robotics as well as a Master in Robotics and Smart Systems acquired through his studies in France and the USA. He started his career in the field of robotics for medical applications in New Jersey (USA) and then joined Thales Transportation France in 2008 as hardware project manager for Chinese metro projects. Since then he worked in different roles within the Group, before joining the Strategy department of the Business Line Mainline Signalling in 2015, first as Product Line Manager for field elements (Axle counter, Point machine and Signals) and today Strategy Leader for Autonomous Train.


Dr. Amine AREZKI

Strategy Leader Autonomous Train, Main Line Signalling, Strategy and Product Policy

Address: Thales Deutschland GmbH

Thalesplatz 1

71254 Ditzingen, Germany

Mobile: +49 172 828 1689


About the author: BIS Group