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Smart city article details
| Title | An Emergency Event Detection Approach In Real-Time For Efficient Vehicle Safety In Smart City |
|---|---|
| ID_Doc | 7938 |
| Authors | Lal N.; Kumar S. |
| Year | 2022 |
| Published | Multimedia Tools and Applications, 81, 5 |
| DOI | http://dx.doi.org/10.1007/s11042-021-11834-8 |
| Abstract | Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communication advances and establishes Vehicle-to-Vehicle (V2V) connectivity. The standardized V2V connectivity and communication are termed in IEEE 802.11p. Later, an alternative named (LTE-V2V) has been introduced. However, both technologies are only concerned with the continuous broadcast of information and cooperative awareness. It only takes information from one vehicle in a text way and sends it to another. In this regard, efficient and satisfactory safety is not provided by these technologies for the analysis of real-time road traffic monitoring. Therefore in this paper, we proposed a solution by providing real-time information on road conditions and traffic scenarios to the drivers. We utilized the capturing of images of road conditions by the positioned cameras and Global Positioning System (GPS) to extract the information regarding vehicle and camera position. The proposed work provides better security rather than a message-passing system in V2V communication. The drivers in our anticipated scenarios can extract and see a clear view of road conditions by the use of captured videos/images. Our proposed solution copes well with moderate traffic conditions and provides a high satisfaction score. The simulation results show that our proposed work can achieve high performance in the provision of providing safety compared to other schemes introduced in this field. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
| Author Keywords | Energy; Internet of things; Performance analysis; Wireless sensor network |
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