Smart City Gnosys

Smart city article details

Title An Iot Aware Road Accident Prévention System For Smart Cities Using Machine Learning Techniques
ID_Doc 8676
Authors Deeksha S.; Ganapathy S.; Muthumanikandan V.
Year 2023
Published Cyber-Physical System Solutions for Smart Cities
DOI http://dx.doi.org/10.4018/978-1-6684-7756-4.ch001
Abstract In smart cities, road accidents are very serious and avoidable. In addition, road accidents are very common in India, and they are also becoming a serious issue all over the world. In this world, the people are not able to reach hospitals due to the traffic, lack of transportfacility, and unavailability of hospitals after the accidents. To enrich thepopulation of urbanpeople, the "smart cities" are developed to enhance the sophistication in daily life through technological development. The proposed image classifier model has been tuned with different values of hyperparameters such as number of units, activation function, optimizer, learning rate, and number of epochs. The efficiency and accuracy of the model is duly considered while building the model for predictive analysis. The images were transformed and augmented before feeding them into the neural network to ensure proper training by blocking over-fitting of the model because of lack of data. The proposed model achieves 98.21% accuracy, which is greater than the existing works. © 2023, IGI Global. All rights reserved.
Author Keywords


Similar Articles


Id Similarity Authors Title Published
6930 View0.883Pathik N.; Gupta R.K.; Sahu Y.; Sharma A.; Masud M.; Baz M.Ai Enabled Accident Detection And Alert System Using Iot And Deep Learning For Smart CitiesSustainability (Switzerland), 14, 13 (2022)
12041 View0.874Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision Systems2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings (2024)
12042 View0.874Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Zekios C.L.; Abdelgawad A.; Bayoumi M.Big Data And Deep Learning In Smart Cities: A Comprehensive Dataset For Ai-Driven Traffic Accident Detection And Computer Vision SystemsConference Proceedings - IEEE SOUTHEASTCON (2024)
42891 View0.873Mirza N.M.; Ali A.; Shifa N.; Ishak M.K.; Ammar K.Predictive Modeling For Smart Traffic Systems: Harnessing Iot Data Insights2023 24th International Arab Conference on Information Technology, ACIT 2023 (2023)
36014 View0.873Thanikachalam R.; Babu M.; Rahuman D.A.S.; Swain S.; Chandrasekaran S.; Veeran R.Machine Learning Models For Road Accident Prediction For Smart Cities: A Comprehensive AnalysisInternational Journal of Basic and Applied Sciences, 14, 2 (2025)
33737 View0.873Piruthiviraj P.; Tarun S.R.; Tarun M.K.; Tarun M.Iot Based Vehicle Monitoring System For Safety Standards In Smart CitiesProceedings - 2024 4th International Conference on Pervasive Computing and Social Networking, ICPCSN 2024 (2024)
44288 View0.868Aloui N.Real-Time Accident Detection In Smart Cities Through Iot Devices: A Case StudyRevista Romana de Informatica si Automatica, 35, 1 (2025)
35933 View0.867Balasubramanian S.B.; Balaji P.; Munshi A.; Almukadi W.; Prabhu T.N.; Venkatachalam K.; Abouhawwash M.Machine Learning Based Iot System For Secure Traffic Management And Accident Detection In Smart CitiesPeerJ Computer Science, 9 (2023)
6953 View0.865Adewopo V.; Elsayed N.; Elsayed Z.; Ozer M.; Wangia-Anderson V.; Abdelgawad A.Ai On The Road: A Comprehensive Analysis Of Traffic Accidents And Autonomous Accident Detection System In Smart CitiesProceedings - International Conference on Tools with Artificial Intelligence, ICTAI (2023)
50572 View0.861Adewopo V.A.; Elsayed N.Smart City Transportation: Deep Learning Ensemble Approach For Traffic Accident DetectionIEEE Access, 12 (2024)