Using object detection in potentially dangerous areas (such as road crossings, intersections, streets with high pedestrian or cyclist activity) and existing vulnerable road user EBA algorithms, the events leading up to a collision, as well as the actual collision event may be recorded such that an accurate account of the accident is achieved, and local law enforcement agencies may be immediately notified. Since EBA systems have sensors that may accurately determine the location, speed, and direction of objects (pedestrians, cyclists, etc), and may be equipped with V2x technologies and communicate with the smart city infrastructures, key information may be obtained and sent to various servers for companies to determine pre-crash scenario accidents occurring in near real-time using cloud type services via cellular, wifi, and other networks, such that developers of safety technologies may use this information quickly implement new safety technologies or improve existing ones.
通过在潜在危险区域(诸如,人行横道、交叉路口、行人或骑车者活动频繁的街道)中使用对象检测以及使用现有的易受伤道路用户EBA算法,可以记录导致碰撞的事件以及实际的碰撞事件,使得实现了对该事故的准确报道,并且可以立即通知本地执法机构。由于EBA系统具有可以准确地确定对象(行人、骑车者等)的位置、速度和方向的传感器,并且可以配备有V2x技术并且与智能城市基础设施进行通信,因此可以经由蜂窝网络、wifi和其他网络、使用云类型服务来获得关键信息,并且将其发送到公司的各种服务器,以确定近实时发生的碰撞前场景事故,使得安全技术的开发人员可以使用该信息来快速实现新的安全技术或改进现有的安全技术。
SMART CITY DATA ANALYTICS FOR IMPROVED ACCIDENT RECONSTRUCTION AND SOLUTIONS
用于经改进的事故重建和解决方案的智能城市数据分析
2020-04-17
Patent
Elektronische Ressource
Chinesisch
SMART CITY DATA ANALYTICS FOR IMPROVED ACCIDENT RECONSTRUCTION AND SOLUTIONS
Europäisches Patentamt | 2019
|SMART CITY DATA ANALYTICS FOR IMPROVED ACCIDENT RECONSTRUCTION AND SOLUTIONS
Europäisches Patentamt | 2019
|Development of Smart Data Analytics Module Enabling Access to Electric Vehicle Usage in Smart City
Springer Verlag | 2022
|Accident Research and Accident Reconstruction by the EES-Accident Reconstruction Method
Kraftfahrwesen | 1985
|