MaaS and TaaS vehicles do not follow any fixed schedule. Instead, they use an app to bundle incoming orders in real time. On this basis, they calculate the optimum route to get as many passengers or goods deliveries as possible to their destination using the shortest possible route. Ride-hailing services employ a comparable concept, using autonomous robo taxis. These smart vehicles reduce the volume of private transport. An example from the city of Munich illustrates this point. A study commissioned from Berylls Strategy Advisors, a strategy consultancy specializing in the automotive industry, indicates that a fleet of 18,000 autonomously driving taxis could replace about 200,000 private vehicles.
Statements like this encourage traffic planners, politicians, and business to drive forward autonomous driving as a problem-solver. Forecasts by Goldmann Sachs, Roland Berger, or McKinsey suggest that autonomously driving people movers and cargo movers could represent a global market potential of between 20 and 50 billion US dollars in 2030. Ride-hailing has an estimated future value of between 18 and 35 billion US dollars.