{"title":"预估防碰撞支撑制动的减损水平","authors":"Keisuke Suzuki, Hitoshi Tanaka, Y. Miichi, M. Aga","doi":"10.1109/IVS.2011.5940456","DOIUrl":null,"url":null,"abstract":"In this study, collision-prevention support braking was used as an example, and a methodology for estimating the collision mitigation ratio using this system is discussed. A method for analyzing the collision-mitigation ratio is discussed through a time series Monte-Carlo simulation based on the integrated error of driver and system [1][2]. First, driver performance in terms of braking timing and deceleration level for collision avoidance was analyzed in a driving simulator when the control timing of the braking-support system was changed. Next, a driver model simulating braking operation, when a preceding vehicle started slowdown was constructed. Through time series simulations using this driver model, the frequency of collisions with a preceding vehicle and the collision velocity were estimated. One result analyzed through this simulation study based on the integrated error of driver and system considering the driver's risk taking behavior during the use of the system estimates that the frequency of collisions decreased from 6.64×10−1 to 1.00×10−5 when the driver used the driving support system for collision avoidance. Although further verification regarding the driver error and system error will be necessary, a methodology for evaluating effectiveness of driving-support system is shown in this study.","PeriodicalId":117811,"journal":{"name":"2011 IEEE Intelligent Vehicles Symposium (IV)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Estimating damage-mitigation level of collision-prevention support braking\",\"authors\":\"Keisuke Suzuki, Hitoshi Tanaka, Y. Miichi, M. Aga\",\"doi\":\"10.1109/IVS.2011.5940456\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, collision-prevention support braking was used as an example, and a methodology for estimating the collision mitigation ratio using this system is discussed. A method for analyzing the collision-mitigation ratio is discussed through a time series Monte-Carlo simulation based on the integrated error of driver and system [1][2]. First, driver performance in terms of braking timing and deceleration level for collision avoidance was analyzed in a driving simulator when the control timing of the braking-support system was changed. Next, a driver model simulating braking operation, when a preceding vehicle started slowdown was constructed. Through time series simulations using this driver model, the frequency of collisions with a preceding vehicle and the collision velocity were estimated. One result analyzed through this simulation study based on the integrated error of driver and system considering the driver's risk taking behavior during the use of the system estimates that the frequency of collisions decreased from 6.64×10−1 to 1.00×10−5 when the driver used the driving support system for collision avoidance. Although further verification regarding the driver error and system error will be necessary, a methodology for evaluating effectiveness of driving-support system is shown in this study.\",\"PeriodicalId\":117811,\"journal\":{\"name\":\"2011 IEEE Intelligent Vehicles Symposium (IV)\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Intelligent Vehicles Symposium (IV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2011.5940456\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2011.5940456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating damage-mitigation level of collision-prevention support braking
In this study, collision-prevention support braking was used as an example, and a methodology for estimating the collision mitigation ratio using this system is discussed. A method for analyzing the collision-mitigation ratio is discussed through a time series Monte-Carlo simulation based on the integrated error of driver and system [1][2]. First, driver performance in terms of braking timing and deceleration level for collision avoidance was analyzed in a driving simulator when the control timing of the braking-support system was changed. Next, a driver model simulating braking operation, when a preceding vehicle started slowdown was constructed. Through time series simulations using this driver model, the frequency of collisions with a preceding vehicle and the collision velocity were estimated. One result analyzed through this simulation study based on the integrated error of driver and system considering the driver's risk taking behavior during the use of the system estimates that the frequency of collisions decreased from 6.64×10−1 to 1.00×10−5 when the driver used the driving support system for collision avoidance. Although further verification regarding the driver error and system error will be necessary, a methodology for evaluating effectiveness of driving-support system is shown in this study.