当前位置: X-MOL 学术IEEE Intell. Transp. Syst. Mag. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Expected Effect of Adopting the eCall System on Reducing Traffic-Related Deaths and Social Costs
IEEE Intelligent Transportation Systems Magazine ( IF 4.3 ) Pub Date : 2022-03-23 , DOI: 10.1109/mits.2022.3155178
Sangheon Kim 1 , Youngsung Cho 2 , Sunwoo Kim 1
Affiliation  

The purpose of this study is to develop an eCall system that can accurately assess the scene of a traffic accident and to analyze the expected effect of the system through integrated demonstrations. The eCall system was designed to collect information requested by emergency response agencies, such as location history immediately before and after an accident, the severity of injuries, and in-vehicle image information. In this study, an eCall in-vehicle system (IVS) was installed in service vehicles, including taxis, fire trucks, and research team members’ cars. Moreover, an eCall center was set up to relay information to emergency response agencies. The results of integrated demonstration tests indicated that the communication success rate between the eCall IVS and the call center was 99.25%, and the mean location information error was 1.2 m. In addition, this study analyzed the amount of time required for an accident victim to arrive at a hospital when the eCall system was implemented, based on 10 years of traffic accident data, and found that he or she would get there approximately 3 min earlier.

中文翻译:


采用 eCall 系统对减少交通相关死亡和社会成本的预期效果



本研究的目的是开发一种能够准确评估交通事故现场的eCall系统,并通过集成演示来分析该系统的预期效果。 eCall系统旨在收集应急响应机构要求的信息,例如事故前后的位置历史记录、受伤的严重程度以及车内图像信息。在这项研究中,eCall 车载系统 (IVS) 安装在服务车辆中,包括出租车、消防车和研究团队成员的汽车。此外,还设立了一个 eCall 中心,向应急响应机构转发信息。集成演示测试结果表明,eCall IVS与呼叫中心的通信成功率为99.25%,位置信息平均误差为1.2 m。此外,本研究根据10年的交通事故数据,分析了实施eCall系统后事故受害者到达医院所需的时间,发现他或她会提前大约3分钟到达医院。
更新日期:2022-03-23
down
wechat
bug