🚄 — Autonomous Train : gamified training protocol

2024 work

This new note brings an idea to make autonomous trains through gamification to collect data for automated railway management, network management and ensure ease of use (like here in France for the SNCF & Alstom).

In the mere goal creating a pilot assistant, you may build an application like Waze and distribute it to drivers to then build the pilot assistant and to collect data about theses metrics, thanks to their reporting about :

• Traffic (density, speed, acceleration, deceleration)

• Travel incidents (animal, tree, humans, etc)

• Road incidents (railway default, signalisation, level crossing)

• Road works

• Meteo (rain, winds, etc)

Through this application users (humans pilots) could share the declared event or metrics in a wait for pair confirmation (another pilot or human user) to confirm this information. To the most, the event or metric sharing could be done through emojis and emoticons on the application. The pair confirmation being thus made this way (for example, a majority of thumbs up would confirm the data — note that all these users are trusted users by default).

The gamification , let apart emoticons and emojis, could be brought through a reward point system, for example :

• Signaling an event or a data-point : 1 point

• Havibg the signalement confirmed : 3 points

This could be then exchanged with the company into net advantages, reduction or even medals, see this NFT medal reward idea for more.

This could pave the ground for a precious data-set to build autonomous pilot assistants. Then Lidars could be added to manage one time incidents (animals, trees, etc) although range remains a technical challenge.

➠ Synthesis (#Key:AICocreation — Gemini)

Comments :

• Driver motivation : gamification can make the task of data collection more fun and motivating, encouraging more active participation from drivers.

• Data quality : the peer review system ensures a certain quality of the data collected.

• Community building : the application can foster the creation of a community of drivers who share their experiences and contribute to improving rail safety (challenges, friendly competitions, personalized rewards).

• Continuous improvement : the data collected can be used to continuously improve the driver assistant and optimize the management of the rail network.

Some points to consider :

• Driver adoption : it is important to ensure that drivers will be ready to adopt this new application and dedicate time to data entry.

• Data protection and cyber-security : the collection and storage of personal data must be carried out in compliance with current data protection and regulations.

• Development cost : the development and deployment of such an application can represent a significant cost.

• Integration with existing systems : the application must be able to integrate with existing rail network management systems.

#Key:Money #Key:Starred