Smart City Gnosys
Smart city article details
| Title | Vehicle Artificial Intelligence System Based On Intelligent Image Analysis And 5G Network |
|---|---|
| ID_Doc | 60889 |
| Authors | Liu B.; Han C.; Liu X.; Li W. |
| Year | 2023 |
| Published | International Journal of Wireless Information Networks, 30, 1 |
| DOI | http://dx.doi.org/10.1007/s10776-021-00535-6 |
| Abstract | Artificial Intelligence is a medium for machine intelligence that offers tremendous opportunities for the intelligent industrial revolution. Smart transport, computer networks, and networked intelligent cities benefit from the rapid development of networking technologies. It has opened up new possibilities for traffic safety, comfort, and quality solutions. Data-driven approaches are refined using artificial intelligence, a widely used technique in various scientific fields. The new 5G network infrastructure challenges the existing networking situation by addressing the failings of 4G. These emerging technologies give intelligent cities and autonomous networks an additional means of being completely connected, including in high-mobility or densely populated areas, with massive simultaneous connecting and the ubiquity of the web. In this paper, an artificial intelligence-based Vehicle to everything (AI-V2X) system has been used. The proposed method can collect knowledge from various sources, increase driver awareness, and anticipate possible collisions, thus increasing driving comfort, security, and performance. Combining high-speed, robust, low latency networking and AI technology, the complementary between the real world and digital information in Industry 4.0 is transformed into an intelligent vehicle. AI-V2X aims to explore the possible contribution of the new AI approaches to an autonomous vehicle search. This discussion comprehensively illustrates the effects of 5G technologies on Smart Cities, Smart Transportation Networks – including Autonomous and Semi-Auto-Communications, Technological, Economic and Legal challenges. Finally, AI-V2X has open issues and concerns in research that must be resolved to realize AI’s responsibility to enhance V2X systems fully. The results are obtained various analysis of vehicles image recognition of 5G networking as follows: improvement of transportation with 5G ratio is 84.2%, vehicle image monitoring on traffic ratio is 88.2%, development of V2X communication is 85.36%, increasing driving comfort ratio is 82.15% and reduction of road congestion on traffic ratio is 91.84%. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. |
| Author Keywords | 5G technologies; Artificial Intelligence; Vehicle to everything |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
10106  | 0.895 | 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) |
| 35879 | 0.887 | Chaymae T.; Mhamed R.; Soumia Z. | Machine Learning And 5G Edge Computing For Intelligent Traffic Management | International Journal of Advanced Computer Science and Applications, 16, 6 (2025) |
| 11511 | 0.877 | Shekhar J.; Rama Prabha K.P.; Prashanth S.; Umamaheswari K.; Rahul S.G.; Gayathri K. | Autonomous Vehicle Traffic Flow Optimization Using Ai And 5G Communication Networks | 3rd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2025 (2025) |
| 16142 | 0.876 | Wang J.; Topilin I.; Feofilova A.; Shao M.; Wang Y. | Cooperative Intelligent Transport Systems: The Impact Of C-V2X Communication Technologies On Road Safety And Traffic Efficiency | Sensors, 25, 7 (2025) |
| 46974 | 0.874 | Suciu G.; Hussain I.; Esanu I.A.; Beceanu C.; Vatasoiu R.-I.; Vochin M.-C. | Role Of 5G In Vehicular Network For Smart Vehicles In Smart Cities | 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging, SIITME 2021 - Conference Proceedings (2021) |
| 60978 | 0.873 | Shakir M.A.; Hussain R.T.; Al-Hamadani B.T.R.; Salih M.M.; Salman H.M.; Kozubtsov I.; Aram E. | Vehicle-To-Everything (V2X) Communication In Iot Via 5G | Conference of Open Innovation Association, FRUCT (2024) |
| 14991 | 0.871 | Kumar S.; Chhillar R.S. | Comparative Analysis Of Existing Security Techniques In Intelligent Transportation System For Smart Cities | AIP Conference Proceedings, 2916, 1 (2023) |
| 11454 | 0.867 | Raissi F.; Yangui S.; Camps F. | Autonomous Cars, 5G Mobile Networks And Smart Cities: Beyond The Hype | Proceedings - 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2019 (2019) |
| 48761 | 0.866 | Bevish Jinila Y.; Joy C.; Joshua Thomas J.; Prayla Shyry S. | Significance Of Consuming 5G-Built Artificial Intelligence In Smart Cities | Artificial Intelligence in Industry 4.0 and 5G Technology (2022) |
| 15826 | 0.864 | Yu M. | Construction Of Regional Intelligent Transportation System In Smart City Road Network Via 5G Network | IEEE Transactions on Intelligent Transportation Systems, 24, 2 (2023) |