Explore the vast range of titles available.

With well over 25 years of experience, Sven Beiker is widely regarded as the mobility expert in Silicon Valley specializing in future trends for the automotive and mobility industries including autonomous driving, connectivity, electrification, and shared mobility. In The Mobility Diaries: Connecting the Milestones of Innovation Leading to ACES, he opens up his personal diary regarding his take on 50 years of mobility innovation and history interwoven with his experiences from 1978 to 2018. From the Foreword by Reilly P. Brennan: “Understanding how transportation itself evolved requires a unique prism. The core components of vehicles today have stories and engineering journeys worth their own telling, and that is what is so exciting about the way we can learn about them in this text. Dr. Beiker’s curriculum vitae, from BMW to Stanford University to McKinsey, are a compendium of experiences that created this unique historical and biographical book.” “Sven and I are kindred spirits in the mobility world. His view on the evolution of mobility and technology illustrates why Detroit and Silicon Valley need one another.” Carla Bailo, Former President and CEO, Center for Automotive Research

The advent of fully automated road vehicles is a topic currently getting attention in the field of transport as well as futures research: the technology is assumed to radically change the way we move in the future as well as to expand and differentiate existing mobility concepts. Still, the implications of automated driving are first and foremost discussed from a technological point of view and uncertainty about how this transition might take place remains. The embedding in the system of automobility respectively the transport system as a whole, currently lacks analytical as well as empirical examination. In our paper, we will discuss the topic in relation to three possible sociotechnical transition scenarios: (1) evolution, (2) revolution and (3) transformation. We will extrapolate different scenarios of automated driving based on current technical, economic, infrastructural, spatial, and transport developments and discuss its consequences for the transport system and mobility concepts.

With the widespread development of automated driving systems (ADS), it is imperative that standardized testing methodologies be developed to assure safety and functionality. Scenario testing evaluates the behavior of an ADS-equipped subject vehicle (SV) in predefined driving scenarios. This paper compares four modes of performing such tests: closed-course testing with real actors, closed-course testing with surrogate actors, simulation testing, and closed-course testing with mixed reality. In a collaboration between the Waterloo Intelligent Systems Engineering (WISE) Lab and AAA, six automated driving scenario tests were executed on a closed course, in simulation, and in mixed reality. These tests involved the University of Waterloo’s automated vehicle, dubbed the “UW Moose”, as the SV, as well as pedestrians, other vehicles, and road debris. Drawing on both data and the experience gained from executing these test scenarios, the paper reports on the advantages and disadvantages of the four scenario testing modes, and compares them using eight criteria. It also identifies several possible implementations of mixed-reality scenario testing, including different strategies for data mixing. The paper closes with twelve recommendations for choosing among the four modes.