{"title":"AAA: Accident Avoidance Agent","authors":"Tolgahan Cakaloglu, K. Yoshigoe","doi":"10.1109/TRONSHOW.2016.7842882","DOIUrl":null,"url":null,"abstract":"Traffic accidents often lead to unfortunate disasters. Yet the majority of them are caused by human error and can be prevented. The aim of this work is to develop Accident Avoidance Agent (AAA), an open source mobile application, to assist the application users navigating their travels through user friendly accident report notification system. The proposed system first gathers and stores accident information from publicly available sources. It then traces the current location of the user and retrieves weather condition, road condition, and speed limit of the current location through open data sources for detecting and notifying the similar conditions in which accidents took place. Summary of relevant accident information can be communicated through color-coded display as well as audio interface for primarily concerning the safety of the application users.","PeriodicalId":106591,"journal":{"name":"2016 TRON Symposium (TRONSHOW)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 TRON Symposium (TRONSHOW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TRONSHOW.2016.7842882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Traffic accidents often lead to unfortunate disasters. Yet the majority of them are caused by human error and can be prevented. The aim of this work is to develop Accident Avoidance Agent (AAA), an open source mobile application, to assist the application users navigating their travels through user friendly accident report notification system. The proposed system first gathers and stores accident information from publicly available sources. It then traces the current location of the user and retrieves weather condition, road condition, and speed limit of the current location through open data sources for detecting and notifying the similar conditions in which accidents took place. Summary of relevant accident information can be communicated through color-coded display as well as audio interface for primarily concerning the safety of the application users.