The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intel...
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(纸本)9798350326970
The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intelligent transportation systems required for autonomous vehicles (AV-ITS). The proposed approach is comprised of four major elements: qualitative and quantitative modeling of the AV-ITS, stochastic analysis to capture and quantify interdependencies, mitigation of disruptions, and validation of efficacy of the self-healing process. This paper describes the overall methodology and presents preliminary results, including an agent-based model for detection of and recovery from disruptions to the AV-ITS.
The model-based safety analysis (MBSA) method is used to analyze the safety of a digital control system given the difficulty in using the traditional safety analysis method for aeroengine digital control system. Based...
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In order to understand the network transformation and acceptance technology optimization of remote control devices, a research on network transformation and acceptance technology optimization of remote control devices...
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This article presents developments by its authors: the IndustrialKit library package and the RCWorkspace application based on it. The library allows developers of third-party applications to use the functionality of p...
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