{"title":"Foresight Safety: Sharing Drivers’ State among Connected Road Users","authors":"P. Pretto, Sandra Trösterer, N. Ebinger, Nino Dum","doi":"10.1145/3409251.3411729","DOIUrl":null,"url":null,"abstract":"When drivers approach a potentially critical situation, they tend to glance over drivers of neighboring vehicles to gather a mutual understanding of the respective states and intentions. Then, experienced drivers can take quick decisions and prevent the onset of a danger. Yet, such a safety-effective behavior finds no equals in current automated driving, although the technologies to build a similar solution are already available. Therefore, it is important to investigate the effects of sharing drivers’ state among road users to understand the potential benefit for pre-critical situations. A networked simulators study was performed involving two drivers in a cut-in maneuver. Results indicate that when a driver is notified that the driver in the adjacent vehicle is distracted, the preferred reaction is to change lane, putting more space between the respective vehicles. Such a preventive action should therefore become the target behavior for automated vehicles capable of a human-like driving style.","PeriodicalId":373501,"journal":{"name":"12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3409251.3411729","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
When drivers approach a potentially critical situation, they tend to glance over drivers of neighboring vehicles to gather a mutual understanding of the respective states and intentions. Then, experienced drivers can take quick decisions and prevent the onset of a danger. Yet, such a safety-effective behavior finds no equals in current automated driving, although the technologies to build a similar solution are already available. Therefore, it is important to investigate the effects of sharing drivers’ state among road users to understand the potential benefit for pre-critical situations. A networked simulators study was performed involving two drivers in a cut-in maneuver. Results indicate that when a driver is notified that the driver in the adjacent vehicle is distracted, the preferred reaction is to change lane, putting more space between the respective vehicles. Such a preventive action should therefore become the target behavior for automated vehicles capable of a human-like driving style.