This paper describes our insights from a collaboration project on digital and machine-readable traffic rules – what it is, why it matters and how we get there. Traffic rules are typically written in text intended for humans. We argue that traffic rules, in the future, must be understood by machines as well. In a digital world we need data on traffic rules. Road users, citizens, companies, and other actors in our society would benefit from such data. Innovative forms of transportation, not least automated vehicles, depend on such data. Relying on e.g. road signs is not sufficient for automated vehicles in order to follow all traffic rules. In the project, we investigated what is needed to reach machine-readable traffic rules in Sweden. The work was conducted as a policy lab. We found that the way forward is an amendment to the legislation that requires decision-making authorities to digitalize their traffic regulations.