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.
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References
Alsarhan A, Al-Dubai AY, Min G, Zomaya AY, and Mohammad Bsoul (2018) A New Spectrum Management Scheme for Road Safety in Smart Cities. IEEE Transactions on Intelligent Transportation Systems
Ashraf AW, Budka M, Musial K (2018) NetSim–The framework for complex network generator. Preprint at arXiv:1805.10520
Barba CT, Mateos MA, Soto PR, Mezher AM, Igartua MA (2012) Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights. In: 2012 IEEE Intelligent Vehicles Symposium (IV), pp 902–907. IEEE,
Bellavista Paolo, Caselli Federico, Corradi Antonio, Foschini Luca (2018) Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience. Sensors 18(3):822
Cecchini G, Bazzi A, Masini BM, Zanella A (2017) LTEV2Vsim: An LTE-V2V simulator for the investigation of resource allocation for cooperative awareness, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pp 80-85, https://doi.org/10.1109/MTITS.2017.8005625.
Djahel S, Jabeur N, Barrett R, Murphy J (2015) Toward V2I communication technology-based solution for reducing road traffic congestion in smart cities. In: 2015 international symposium on Networks, computers and communications (ISNCC), pp 1–6. IEEE
Dogru N, Subasi A (2018) Traffic accident detection using random forest classifier. In: 2018 15th Learning and Technology Conference (L&T), pp 40–45. IEEE
Gao Z, Zhang H, Dong S, Sun S, Wang X, Yang G, Wu W, Li S, de Albuquerque VHC (2020) Salient object detection in the distributed cloud-edge intelligent network. IEEE Network 34(2):216–224
Mohamad MA, Igartua MA (2017) Multimedia Multimetric Map-aware Routing protocol to send video-reporting messages over VANETs in smart citie. IEEE Transactions on Vehicular Technology 66(12):10611–10625
Joy J, Rabsatt V, Gerla M (2018) Internet of Vehicles: Enabling safe, secure, and private vehicular crowdsourcing. Internet Technology Letters
Khekare, GS, Sakhare AV (2013) A smart city framework for intelligent traffic system using VANET. In: 2013 International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), pp 302–305. IEEE
Qiu Hang, Chen Jinzhu, Jain Shubham, Jiang Yurong, McCartney Matt, Kar Gorkem, Bai Fan, Grimm Donald K, Gruteser Marco, Govindan Ramesh (2018) Towards Robust Vehicular Context Sensing. IEEE Transactions on Vehicular Technology 67(3):1909–1922
Ksiksi A, Al Shehhi S, Ramzan R (2015) Intelligent Traffic Alert System for Smart Cities. In: 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), pp 165–169. IEEE
Meghana S, Jain PC (2018) Vehicle-to-Vehicle Communication—A Vertical Handover Algorithm Based on Vehicle Speed. In: Optical and Wireless Technologies, pp 481-489. Springer, Singapore
Mezher AM, Igartua MA (2017) Multimedia Multimetric Map-aware Routing protocol to send video-reporting messages over VANETs in smart cities. IEEE Transactions on Vehicular Technology 66(12):10611–10625
Nafi, NS, Khan JY (2012) A VANET based intelligent road traffic signalling system. In: 2012 Australasian Telecommunication Networks and Applications Conference (ATNAC), pp 1–6. IEEE
Zhifan G, Zhang H, Dong S, Sun S, Wang X, Yang G, Wu W, Li S, de Albuquerque VHC (2020) Salient object detection in the distributed cloud-edge intelligent network. IEEE Network 34(2):216–224
Acknowledgements
The author would like to be grateful for Dr. Vijay Kumar Chaurasiya working as an Associate Professor in IIIT-Allahabad for the great support and all the contemporaries and fellows, for precious involvement in this paper.
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On the behalf of all the authors in the paper, I, Nidhi Lal ( corresponding author) hereby accept that there is no conflict of interest.
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Lal, N., Kumar, S. An emergency event detection approach in real-time for efficient vehicle safety in Smart City. Multimed Tools Appl 81, 6373–6388 (2022). https://doi.org/10.1007/s11042-021-11834-8
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DOI: https://doi.org/10.1007/s11042-021-11834-8