{"title":"用离散和连续模型检验评价规范对模式感知的支持","authors":"Alyssa Byrnes, C. Sturton","doi":"10.1109/ITSC45102.2020.9294519","DOIUrl":null,"url":null,"abstract":"In situations where humans and computers cooperate, mode confusion on the part of the human can be dangerous. We present a methodology to evaluate a semi-autonomous system for its support of mode awareness. The methodology uses discrete-state model checking of the specification and real-valued model checking of the system in operation. Using the ISO standard for adaptive cruise control as a case study, we exhaustively enumerate the instances of four design flaws known to contribute to mode confusion. We then build a real-valued model of eight driving scenarios to find which of those instances of possible mode confusion may lead to a dangerous situation. We find 116 property violations, and determine 62 of them to be potentially dangerous.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating a Specification for its Support of Mode Awareness using Discrete and Continuous Model Checking\",\"authors\":\"Alyssa Byrnes, C. Sturton\",\"doi\":\"10.1109/ITSC45102.2020.9294519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In situations where humans and computers cooperate, mode confusion on the part of the human can be dangerous. We present a methodology to evaluate a semi-autonomous system for its support of mode awareness. The methodology uses discrete-state model checking of the specification and real-valued model checking of the system in operation. Using the ISO standard for adaptive cruise control as a case study, we exhaustively enumerate the instances of four design flaws known to contribute to mode confusion. We then build a real-valued model of eight driving scenarios to find which of those instances of possible mode confusion may lead to a dangerous situation. We find 116 property violations, and determine 62 of them to be potentially dangerous.\",\"PeriodicalId\":394538,\"journal\":{\"name\":\"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC45102.2020.9294519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC45102.2020.9294519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating a Specification for its Support of Mode Awareness using Discrete and Continuous Model Checking
In situations where humans and computers cooperate, mode confusion on the part of the human can be dangerous. We present a methodology to evaluate a semi-autonomous system for its support of mode awareness. The methodology uses discrete-state model checking of the specification and real-valued model checking of the system in operation. Using the ISO standard for adaptive cruise control as a case study, we exhaustively enumerate the instances of four design flaws known to contribute to mode confusion. We then build a real-valued model of eight driving scenarios to find which of those instances of possible mode confusion may lead to a dangerous situation. We find 116 property violations, and determine 62 of them to be potentially dangerous.