{"title":"基于事件的汽车车道保持警戒限制风险评估","authors":"J. Rife, Patrick Elwood, H. Wassaf","doi":"10.1109/PLANS53410.2023.10140129","DOIUrl":null,"url":null,"abstract":"This paper analyzes the integrity risk allocation for automated driving applications involving lane keeping, with an emphasis on converting a risk-per-mile specification into a risk-per-event specification. The integrity risk allocation is the basis for defining a confidence bound (or protection level) for the navigation sensor error (NSE) distribution. For the vehicle to operate safely, the protection level must not exceed the alert limit, a geometric bound that specifies the worst-case tolerable error. In this comparison, the NSE distribution describes the range of values expected from the random error at a particular instant. However, safety targets are typically quoted on a per-mile or per-hour basis. Thus, research is needed to determine the frequency per mile (or hour) of independent events that cause a loss of integrity. This paper models lane keeping in two-way traffic to estimate, for that use case, the rate of occurrence of hazardous events. We combine these models with 2019 data for a particular road segment (part of MA Route 16). For that roadway, we estimate an events/mile rate of 19 in heavy traffic, 0.27 in low traffic, with a mean of 9.5 averaged over a typical weekday.","PeriodicalId":344794,"journal":{"name":"2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-Based Risk Assessment for Alert Limits in Automotive Lane Keeping\",\"authors\":\"J. Rife, Patrick Elwood, H. Wassaf\",\"doi\":\"10.1109/PLANS53410.2023.10140129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the integrity risk allocation for automated driving applications involving lane keeping, with an emphasis on converting a risk-per-mile specification into a risk-per-event specification. The integrity risk allocation is the basis for defining a confidence bound (or protection level) for the navigation sensor error (NSE) distribution. For the vehicle to operate safely, the protection level must not exceed the alert limit, a geometric bound that specifies the worst-case tolerable error. In this comparison, the NSE distribution describes the range of values expected from the random error at a particular instant. However, safety targets are typically quoted on a per-mile or per-hour basis. Thus, research is needed to determine the frequency per mile (or hour) of independent events that cause a loss of integrity. This paper models lane keeping in two-way traffic to estimate, for that use case, the rate of occurrence of hazardous events. We combine these models with 2019 data for a particular road segment (part of MA Route 16). For that roadway, we estimate an events/mile rate of 19 in heavy traffic, 0.27 in low traffic, with a mean of 9.5 averaged over a typical weekday.\",\"PeriodicalId\":344794,\"journal\":{\"name\":\"2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS53410.2023.10140129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS53410.2023.10140129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Event-Based Risk Assessment for Alert Limits in Automotive Lane Keeping
This paper analyzes the integrity risk allocation for automated driving applications involving lane keeping, with an emphasis on converting a risk-per-mile specification into a risk-per-event specification. The integrity risk allocation is the basis for defining a confidence bound (or protection level) for the navigation sensor error (NSE) distribution. For the vehicle to operate safely, the protection level must not exceed the alert limit, a geometric bound that specifies the worst-case tolerable error. In this comparison, the NSE distribution describes the range of values expected from the random error at a particular instant. However, safety targets are typically quoted on a per-mile or per-hour basis. Thus, research is needed to determine the frequency per mile (or hour) of independent events that cause a loss of integrity. This paper models lane keeping in two-way traffic to estimate, for that use case, the rate of occurrence of hazardous events. We combine these models with 2019 data for a particular road segment (part of MA Route 16). For that roadway, we estimate an events/mile rate of 19 in heavy traffic, 0.27 in low traffic, with a mean of 9.5 averaged over a typical weekday.