Smart City Gnosys

Smart city article details

Title	Machine Learning-Based Quantum Modeling To Classify The Traffic Flow In Smart Cities
ID_Doc	36061
Authors	Karthikeyan N.; Sivaprakash P.; Periyakaruppan K.; Shobana M.
Year	2023
Published	Quantum-Safe Cryptography Algorithms and Approaches: Impacts of Quantum Computing on Cybersecur
DOI	http://dx.doi.org/10.1515/9783110798159-005
Abstract	The intelligent transportation system (ITS) includes a number of highly effective research applications, one of which is the vehicle ad hoc network. It provides information that can be used to either prevent or lessen the occurrence of traffic bottlenecks. By using the V2V and V2I protocols, a vehicular ad hoc network is able to facilitate communication not just between the vehicles themselves but also between the vehicles and the infrastructure that connects them. In this chapter, machine learning-based quantum modeling to classify the traffic flow in smart cities is proposed and validated. © 2023 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
43989	0.897	Thenmozhi M.; Abishake S.; Dhayal R.S.; Rohit Kanna R.P.	Quantum Enhanced Ai To Predict The Traffic Flow	2nd International Conference on Emerging Research in Computational Science, ICERCS 2024 (2024)
49871	0.878	Saleem M.; Abbas S.; Ghazal T.M.; Adnan Khan M.; Sahawneh N.; Ahmad M.	Smart Cities: Fusion-Based Intelligent Traffic Congestion Control System For Vehicular Networks Using Machine Learning Techniques	Egyptian Informatics Journal, 23, 3 (2022)
7053	0.874	Singh R.; Kumar R.; Singh A.; Vijay R.; Khan R.L.; Ather D.	Ai-Driven Vanets For Iot-Enabled Transportation Systems	Communications in Computer and Information Science, 2308 CCIS (2025)
40918	0.867	Mayan J.A.; Reddy G.S.; Rao G.M.	Optimizing The Traffic Flow In Vanets Using Deep Quantum Annealing	Quantum-Safe Cryptography Algorithms and Approaches: Impacts of Quantum Computing on Cybersecur (2023)
5762	0.866	Prakash J.; Murali L.; Manikandan N.; Nagaprasad N.; Ramaswamy K.	A Vehicular Network Based Intelligent Transport System For Smart Cities Using Machine Learning Algorithms	Scientific Reports, 14, 1 (2024)
10106	0.866	Raj R.; Kumar A.; Mandloi A.; Pal R.	Applications Of Machine Learning And 5G New Radio Vehicle-To-Everything Communication In Smart Cities	Signals and Communication Technology, Part F1293 (2024)
32646	0.865	Limkar S.; Ashok W.V.; Shende P.; Wagh K.; Wagh S.K.; Kumar A.	Intelligent Transportation System Using Vehicular Networks In The Internet Of Vehicles For Smart Cities	Journal of Electrical Systems, 19, 2 (2023)
784	0.863	Sepasgozar S.S.; Pierre S.	A Comparative Study Of Artificial Intelligence Algorithms For Network Traffic Prediction In Vanet	International Conference on Wireless and Mobile Computing, Networking and Communications, 2022-October (2022)
21741	0.862	Saini K.; Sharma S.	Edge Cloud Assisted Quantum Lstm-Based Framework For Road Traffic Monitoring	International Journal of Intelligent Transportation Systems Research, 22, 3 (2024)
3902	0.857	Rahmani A.M.; Naqvi R.A.; Yousefpoor E.; Yousefpoor M.S.; Ahmed O.H.; Hosseinzadeh M.; Siddique K.	A Q-Learning And Fuzzy Logic-Based Hierarchical Routing Scheme In The Intelligent Transportation System For Smart Cities	Mathematics, 10, 22 (2022)