ISO Technical Committee 204 on “Intelligent Transport Systems” has recognised that Artificial Intelligence and Big Data standardisation is gaining momentum in all different domains of standardisation.

ISO Technical Committee 204‘s scope is to frame and provide standardisation of information, communication and control systems in the field of urban and rural surface transportation, including its intermodal and multimodal aspects. The Committee also deals with traveller information, traffic management, public and commercial transport, emergency services and commercial services in the intelligent transport systems (ITS) field.

The Technical Committee has established the new Working Group 20 (WG20). WG20 will focus on “Big Data and Artificial Intelligence supporting ITS” and will work on Intelligent Transport Systems specific use cases.

To that end, ISO TC204 WG20 has launched a call for contribution to obtain appropriate ITS specific and AI and/or Big Data relevant input(s) for this standardisation work. Collected inputs will be published in the ISO technical report TR 12786 titled “Intelligent transport systems — Big data and artificial intelligence supporting intelligent transport systems — Use cases”.

5GMETA is proud to contribute to this effort by proposing a use case named “Crowd-sourced AI dataset generation and model update”. The use case contributes by describing the project results’ on crowd-sourced dataset generation and Machine Learning model update through connected vehicles in the field of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD).


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 957360 (Innovation Action).