{"title":"司机和乘客决策支持系统:基于智能手机的参考模型和评估","authors":"A. Kashevnik, I. Lashkov","doi":"10.23919/FRUCT.2018.8588072","DOIUrl":null,"url":null,"abstract":"Last years, decision support systems brought a lot of new possibilities for the people. Developing such technologies as context-aware recommendations, personification, cloud computing allows to support vehicle drivers and passengers in their trips. Decision support systems for vehicle drivers and passengers allows one to provide context-based personalized recommendations based on determined situation in the vehicle cabin and location region as well as driver preferences. For example, during the trip the driver can be notified about the interesting places. If the system determines the dangerous state it generates recommendations for the driver to predict the emergency situation. The paper presents a reference model of the decision support system, describe the dangerous state identification scheme, and discuss evaluation.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Decision Support System for Drivers & Passengers: Smartphone-Based Reference Model and Evaluation\",\"authors\":\"A. Kashevnik, I. Lashkov\",\"doi\":\"10.23919/FRUCT.2018.8588072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Last years, decision support systems brought a lot of new possibilities for the people. Developing such technologies as context-aware recommendations, personification, cloud computing allows to support vehicle drivers and passengers in their trips. Decision support systems for vehicle drivers and passengers allows one to provide context-based personalized recommendations based on determined situation in the vehicle cabin and location region as well as driver preferences. For example, during the trip the driver can be notified about the interesting places. If the system determines the dangerous state it generates recommendations for the driver to predict the emergency situation. The paper presents a reference model of the decision support system, describe the dangerous state identification scheme, and discuss evaluation.\",\"PeriodicalId\":183812,\"journal\":{\"name\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"volume\":\"220 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 23rd Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2018.8588072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 23rd Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2018.8588072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision Support System for Drivers & Passengers: Smartphone-Based Reference Model and Evaluation
Last years, decision support systems brought a lot of new possibilities for the people. Developing such technologies as context-aware recommendations, personification, cloud computing allows to support vehicle drivers and passengers in their trips. Decision support systems for vehicle drivers and passengers allows one to provide context-based personalized recommendations based on determined situation in the vehicle cabin and location region as well as driver preferences. For example, during the trip the driver can be notified about the interesting places. If the system determines the dangerous state it generates recommendations for the driver to predict the emergency situation. The paper presents a reference model of the decision support system, describe the dangerous state identification scheme, and discuss evaluation.