The digitalization of vehicles and transport services offers a huge potential to reduce traffic-related fatalities and injuries to zero. However, this is only possible, if we take a collaborative, systems perspective.
AI will support drivers real-time in critical situations. We believe that vehicles can become inherently safe using a mix-and-match of machine learning, world modelling, optimized human-machine cooperation, state-of-the-art vision and radar systems, as well as ultrafast actuators.
It is our goal to significantly contribute to speeding up the transition towards accident free and zero emission mobility.
Collaborative mobility for more sustainable supply chains
Today’s transportation systems, facilitating the movement of goods in our supply chains, are facing several challenges in the form of environmental concerns but also through changes in policy, infrastructure and shifts in consumer demands. Transportation systems and the related logistics processes need to be more flexible to adjust to this dynamic environment, while, at the same time, improving the associated environmental footprint to achieve the goal of zero emission transport. A way to realize this, is by transforming current transportation networks towards smart systems in which actors make more informed and coordinated decisions while sharing tasks and resources.Read more
Fair Incentive Mechanisms for Sustainable Mobility
Ultimately, the way transportation systems are operated and used by the population defines their system-level performance. The possibility of centrally coordinating a mobility system by guiding customers and vehicles through system-optimal routes can significantly improve the achievable transportation quality. However, to achieve this, users need to occasionally yield up a little for the sake of other users so that, on average, every user will be better off. This is in contrast to the status quo, whereby each user behaves selfishly and the system reaches a less efficient user-centric equilibrium.Read more