Application of IoT and Artificial Intelligence in Road Safety
Application of IoT and Artificial Intelligence in Road Safety
复制标题
物联网和人工智能在道路安全中的应用
DOI：
10.1109/irtm54583.2022.9791529
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
R. P. Nanda
中科院分区：
文献类型：
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作者：
Srimantini Bhattacharya;Harsh Jha;R. P. Nanda
本文探讨了物联网（IoT）和机器学习在道路安全和事故预防领域的进步，并对实施智能道路安全系统所采用的各种技术进行了最新的回顾。在这篇综述中，重点是驾驶员的行为，车辆（两轮车，四轮车）的条件，道路和桥梁的健康状况，以及使用射频识别（RFID）的盗窃相关问题。可以看到，在物联网的帮助下，安全系统可以实时更新，这有助于创建一个智能，智能和高效的道路安全系统。人工智能（AI）被应用于进一步增强技术，以便在实时摄像头或高分辨率图像的帮助下检测驾驶员的行为，如困倦。此外，还讨论了人工智能在检测道路和桥梁状况以预防道路事故中的作用。虽然本文对物联网和机器学习在智能道路安全系统中的应用提供了很好的见解，但也突出了某些局限性。
This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field of Road Safety and accident prevention with a state-of-the-art review of various techniques adopted for implementing an intelligent road Safety System. In this review, emphasis is given on the behavior of drivers, the condition of vehicles (two-wheelers, four-wheelers), health condition of roads and bridges, and theft-related issues using Radio Frequency Identification (RFID). It is seen that, with the help of IoT, the safety system can be updated on a real-time basis which can help to create a smart, intelligent, and highly efficient Road Safety system. Artificial Intelligence (AI) is applied to enhance the technology further for detecting the driver's behavior like drowsiness with the help of real-time camera feed or high-resolution images. Additionally, the role of AI in detecting the condition of roads and bridges in preventing road accidents is also discussed. Though the paper provides a good insight into the application of IoT and Machine Learning in the smart Road safety system, certain limitations are highlighted.