{"title":"轨迹预测对决策支持自动化影响的初步研究","authors":"G. Hunter, R. Vivona, C. Garcia-Avello","doi":"10.1109/DASC.2009.5347523","DOIUrl":null,"url":null,"abstract":"First, this paper examines fundamental issues that arise when evaluating the sensitivity of decision support tool (DST) performance to trajectory prediction (TP) accuracy. Second, this paper presents a preliminary experiment, showing that variations in TP accuracy can substantially affect performance of a traffic flow management (TFM) DST due to differences in airspace loading forecasts.","PeriodicalId":313168,"journal":{"name":"2009 IEEE/AIAA 28th Digital Avionics Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preliminary investigation of trajectory prediction impact on decision support automation\",\"authors\":\"G. Hunter, R. Vivona, C. Garcia-Avello\",\"doi\":\"10.1109/DASC.2009.5347523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"First, this paper examines fundamental issues that arise when evaluating the sensitivity of decision support tool (DST) performance to trajectory prediction (TP) accuracy. Second, this paper presents a preliminary experiment, showing that variations in TP accuracy can substantially affect performance of a traffic flow management (TFM) DST due to differences in airspace loading forecasts.\",\"PeriodicalId\":313168,\"journal\":{\"name\":\"2009 IEEE/AIAA 28th Digital Avionics Systems Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE/AIAA 28th Digital Avionics Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC.2009.5347523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE/AIAA 28th Digital Avionics Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2009.5347523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preliminary investigation of trajectory prediction impact on decision support automation
First, this paper examines fundamental issues that arise when evaluating the sensitivity of decision support tool (DST) performance to trajectory prediction (TP) accuracy. Second, this paper presents a preliminary experiment, showing that variations in TP accuracy can substantially affect performance of a traffic flow management (TFM) DST due to differences in airspace loading forecasts.