Updating Regional Transportation Planning and Modeling Tools to Address Impacts of Connected and Automated Vehicles, Volume 1: Executive Summary (2018) / Chapter Skim
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9 Planning Context The context of planning for CAV technology is one of deep uncertainty about the impacts, infrastructure needs, deployment timeline, market penetration, design, engineering, and many more aspects of automation. CAVs are expected to be disruptive and impactful, but that is the only certainty about which the planning community generally agrees.
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10 Updating Regional Transportation Planning and Modeling Tools to Address Impacts of Connected and Automated Vehicles estimate expected outcomes, RDM uses simulations to stress-test strategies and helps decision makers identify robust strategies -- those that perform well regardless of the assumptions or future conditions -- and identify the key trade-offs among them. Info-gap theory also helps decision makers identify robust options, but it takes a somewhat different tack from RDM, which uses models to assess the performance of options in a wide range of potential future conditions and then identifies conditions that result in poor performance (i.e., conditions to which the system is vulnerable)
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