Regulation Is Not the Final Chapter — Why Regulation Is Part of the Business Model

Today, autonomous mobility rarely fails because the legal framework is missing. It fails when regulation is treated merely as a formal hurdle rather than as part of the system itself.

This is where a common strategic misconception begins. Too often, innovation debates treat regulation as an afterthought: first, the technology is developed; only afterwards are approvals, responsibilities, and oversight addressed. This approach does not work in public transportation. Here, regulation does not merely determine whether a service is allowed to operate. From the outset, it shapes operating areas, responsibilities, technical oversight, safety procedures, and the practical viability of a service.

With the Road Traffic Act and the AFGBV, Germany has already established a legal framework for motor vehicles with autonomous driving capabilities in designated operating areas.

Source: More information

Source: More information

This makes one thing clear: German law no longer treats autonomous driving as a future vision alone. It already recognizes it as a regulated use case. At the same time, regulation is not simply a matter of granting approval once a technology is ready. The legal framework defines responsibilities, operating conditions, roles, and limitations. As a result, it directly influences how a system can be planned, operated, supervised, and held accountable.

The Handbook on Autonomous Driving in Public Transport describes autonomous services as a systemic challenge in which legal, operational, and organizational questions must be considered together. This is the key point: regulation is not an administrative step that comes at the end. It is part of the operational setup itself.

Source: More information

This is particularly important in public transit. The issue is not merely whether a vehicle is allowed to operate under certain conditions. It is whether a service can be approved, supervised, operated, and integrated into existing public responsibilities. Regulation therefore shapes not only what is legally permitted, but also how the system is designed and operated in practice.

In its strategy, the German federal government makes it clear that the path from pilot projects to scalable deployment remains open, and that this requires not only technology but also a viable regulatory framework, operational logic, and practical implementation pathways.

Source: More information

Those who consider regulation too late may develop technical solutions that are difficult to translate into viable operating models later on. By contrast, those who treat regulation as part of the system architecture from the outset tend to plan more realistically: with regard to operating areas, responsibilities, technical oversight, safety certification, operator roles, procurement, and scaling.

This also includes a point that is often underestimated in the debate: regulation and standardization are deeply interconnected. Open interfaces, interoperable systems, and clearly defined responsibilities are not merely technical or procurement-related concerns. They directly influence how compatible a system will be from both a regulatory and operational perspective. Those who procure, standardize, or approve autonomous mobility today are also shaping its future scalability and transferability.

An international perspective: France articulates this connection particularly clearly. The relevant ministry states: “The deployment of automated vehicles and mobility services in France is made possible by the legislative and regulatory framework, which complements the European vehicle approval framework.” This offers an important lesson for Germany as well: long-term scaling depends not only on national frameworks, but also on how effectively solutions can be harmonized with existing regulations.

Source: More information

This becomes particularly important once services move into regular operation. A model that can only be approved under highly specific individual conditions remains structurally limited. A model designed to be regulatory-compatible has a much greater chance of being replicable, scalable, and suitable for public operation.

Following discussions around scale, regional deployment, regular operation, system architecture, accessibility, system accountability, evaluation, trust, driver shortages, and the vision of a better public transit system, we arrive at the overarching factor that connects them all: regulation. Not as a barrier, but as a framework that helps determine whether innovation can evolve into public infrastructure.

Autonomous mobility does not become a reality in public transportation simply because it is technically possible. It becomes a reality when technology, operations, responsibility, and regulation align.