The University of Michigan
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Abstract:
The goal of this research project is to create a scalable and robust cyber-physical system (CPS) framework for the observation and control of the functional interdependencies between bridge structures (stationary physical systems) and trucks, vehicles and human inspectors (mobile physical agents). Figure 1 shows the SHM-based CPS framework that is built around demonstration highway bridges with permanent wireless bridge monitoring system installed.
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Abstract:
Recent progress in battery technology has made it possible to use batteries to power various physical platforms, such as ground/air/water vehicles. These platforms require hundreds/thousands of battery cells to meet their power and energy needs. Of these, automobiles, locomotives, and unmanned air vehicles (UAVs) face the most stringent environmental challenges.
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Abstract:
The project is developing novel architectures for control and diagnosis of complex cyber-physical systems subject to stringent performance requirements in terms of safety, resilience, and adaptivity. These ever-increasing demands necessitate the use of formal model-based approaches to synthesize provably-correct feedback controllers.
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Submitted by Paul Green on Wed, 12/02/2015 - 10:38pm
SAE Recommended Practice J2944, Operational Definitions of Driving Performance Measures and Statistics
From Paul Green, University of Michigan
Pagreen@umich.edu
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Submitted by lrohrbough on Wed, 12/03/2014 - 11:23am
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Submitted by jessygrizzle on Tue, 12/02/2014 - 3:45pm
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Abstract:
This project addresses highly dynamic Cyber-Physical Systems (CPSs) understood as systems where a computing delay of a few milliseconds or an incorrectly computed response to a disturbance can lead to catastrophic consequences. Such is the case of advanced safety systems on passenger cars, unmanned air vehicles performing critical maneuvers such as landing, or disaster and rescue response bipedal robots rushing through the rubble to collect information or save human lives.
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Abstract:
The goal of this project is to develop fundamental theory, computationally efficient algorithms, and real-world experiments for the analysis and design of safety-critical cyber-physical transportation systems with human operators. To this end, we propose a modeling, theoretical, and experimental collaborative effort combining human factors, control theory, and computer science. As crashes at traffic intersections account for about 40% of overall vehicle crashes, we will focus on intersection crashes in this project.
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Abstract:
Cyber-Physical Systems (CPS) are being increasingly deployed in critical infrastructures such as electric-power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and closed-loop control by exploiting the advances in wireless sensor-actuator networks, the internet of "everything," data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of computational and physical components.
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Abstract:
The current project, collaboration between the MIT and the University of Michigan, concerns the development of complex models to describe driver decision making at intersections. MIT is focused on modeling and Michigan on data collection and method development. Two experiments have been conducted so far (24 subjects/experiment) using a NADS MiniSim driving simulator for which extensive programming was required. Subjects drove through 2 sets of 70 intersections following a lead vehicle (and being followed).
