Ecosystems

Communications & Interoperability

Research

Engineering Connected Intelligence for Future Mobility Ecosystems Executive Summary Intelligent mobility depends upon more than software, artificial intelligence, infrastructure, or autonomous systems. It depends upon communication. Information must move securely. Systems must exchange awareness. Software must coordinate activity. Artificial intelligence must receive timely data. Infrastructure must communicate changing conditions. Autonomous systems must collaborate. Cloud and […]

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Artificial Intelligence for Mobility

Research

Engineering Intelligent Decision Systems for Connected Transportation Ecosystems Executive Summary Artificial intelligence has become one of the defining technologies of the digital era. Its influence extends well beyond conversational systems and autonomous vehicles. Artificial intelligence expontentially increasingly supports logistics, infrastructure, communications, robotics, operational planning, predictive analytics, and intelligent coordination throughout modern transportation environments. The engineering

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Intelligent Orchestration

Research

A Systems Framework for Coordinating Connected Mobility Ecosystems Executive Summary As mobility systems become increasingly connected, engineering challenges extend beyond individual technologies. Artificial intelligence. Software. Connected infrastructure. Autonomous systems. Robotics. Cloud computing. Edge computing. Communications. Each technology continues advancing independently. The greater challenge lies in enabling these technologies to operate as coordinated systems. This paper

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