基于物联网的智能事故预警系统，实时监测驾驶风险并自动报警。
Enhancing Road Safety: An IoT-Based Accident Detection and Prevention Mechanism
- 通过物联网设备实时采集驾驶数据，识别超速、酒驾等危险行为
- 发现事故后自动定位并发送求救信号至附近医院，缩短救援时间
- 适合交通管理、智能车载系统研发者关注
道路交通事故仍是全球重大公共安全危机，主要由人为因素引发，包括超速、酒驾和认知疲劳。为应对这一紧迫挑战，本文提出一种基于物联网的事故预防与检测系统（APDS），旨在系统性降低驾驶员风险并优化碰撞后应急响应。该框架采用多层架构，支持持续实时遥测监控、本地主动报警及自动化情境干预。系统还集成自动应急通信机制，通过GPS即时获取位置信息，并向周边医疗机构发送精准警报，从而缩短响应时间，减少事故致死率。
原文摘要 · Abstract (English)
Road traffic accidents remain a critical global crisis, consistently serving as a primary driver of preventable mortality and severe injury. These incidents are frequently precipitated by human error, including overspeeding, driving under the influence of alcohol, and cognitive fatigue. To address this urgent public safety challenge, this paper presents an intelligent, Internet of Things (IoT)-based Accident Prevention and Detection System (APDS) designed to systematically mitigate driver risk and optimize post-collision emergency responses. The proposed framework features a multi-tiered architecture capable of executing continuous real-time telemetry monitoring, proactive local alarm triggering, and automated situational intervention. Furthermore, the system integrates automated emergency communication protocols that aggregate immediate spatial coordinates via GPS and dispatch targeted alerts to medical facilities in close proximity, thereby optimizing response times and reducing accident-related fatalities.
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