Six Requirements for Growing and Scaling Autonomous Mobility

As we enter a period of autonomous vehicle pilot deployments it is instructive to understand how far we’ve come in making these vehicles an achievable reality, and what we still need to accomplish before autonomous fleets can address the mobility goals, we’ve set for consumer transportation and logistics. Technological innovation and adoption typically follow particular lifecycles. Think of the portable music players. Driverless mobility, comprising of on-demand mobility services and autonomous vehicles, is no exception.  This post presents an analysis of the autonomous vehicles innovation lifecycle. It introduces four dimensions for assessing AV innovation performance over time. Finally, it presents six requirements that will need to be addressed before the use of autonomous vehicles can scale for consumer transportation and logistics.

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Before Regulating Next-Generation Mobility Data, We Must Understand That Data

The congressional and European Parliament testimonies of Facebook’s CEO focused attention on Internet and ecommerce corporations and startups whose business models rely on the collection and exploitation of big data, with personal data being a major component. Legislators and the public at large came to realize a) the leverage such companies now possess through the dominant positions of the free and frequently personalized services they offer in exchange for the data they collect, b) the risks associated with not properly safeguarding this data, c) the legislators lack of detailed understanding about how the data is collected and used by these companies and their partners, and d) how difficult it will be to regulate the collection, processing, AI-based exploitation, and use of this data in a way that is agreeable to both consumers and businesses. These issues are re-emerging as more connected vehicles are shipped and will become more critical as companies using autonomous vehicles in a variety of services start to employ big data in insights-enabled business models. As we consider the monetization of transportation-related data it is necessary to understand who the main generators and users of this data are, who owns each type of generated data, the risks that may arise from mishandling the collected data, and whether existing and proposed regulations relating to autonomous vehicles and more broadly next-generation mobility suffice or need to be augmented.

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