banner

The 5G revolution: Tackling challenges in smart cities and intelligent transportation systems

Sunil Kumar Vohra, V. Suresh Kumar, Ramkumar Krishnamoorthy, Poornima Mahesh, Bhadrappa Haralayya, Nupur Soni, Shashi Kant Gupta

Abstract


The use of cutting-edge technology and data systems to increase the effectiveness, safety, and environmental responsibility of transport networks is known as intelligent transportation systems (ITS). In order to improve many elements of transportation, ITS incorporates a wide range of technologies, including sensors, communication networks, data analytics, and robots. By addressing the shortcomings of the current 4G network, the next mobile technology, 5G, challenges the electronic communication environment as it stands. By allowing a large number of concurrent connections and networks ubiquitous, even in high mobility scenarios or densely inhabited places, such Smart trains and smart cities (SC) are made possible by cutting-edge technology a new approach of becoming fully integrated. According to this strategy; 5G will enable the true Internet of Things (IoT) and its related automobiles on the World Wide Web (WWW). This conversation attempts to thoroughly explain how 5G wireless networks will impact urban smart transport networks, including semi-autonomous or self-driving cars, and automotive communication over the coming years, as well as any technical, economical, and regulatory issues.


Keywords


5G; vehicular communications; IoT, Smart city; autonomous driving; intelligent transportation systems (ITS)

Full Text:

PDF

References


1. Gohar A, Nencioni G. The role of 5G technologies in a Smart city: The case for intelligent transportation system. Sustainability 2021; 13(9): 5188. doi: 10.3390/su13095188

2. Lin C, Han G, Du J, et al. Spatiotemporal congestion-aware path planning toward intelligent transportation systems in software-defined Smart city IoT. IEEE Internet of Things Journal 2020; 7(9): 8012–8024. doi: 10.1109/jiot.2020.2994963

3. Liu Y, Huo L, Wu J, Bashir AK. Swarm Learning-Based Dynamic Optimal Management for Traffic Congestion in 6G-Driven Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems 2023; 24(7): 7831–7846.

4. John SK, Sivaraj D, Mugelan RK. Implementation challenges and opportunities of smart city and intelligent transport systems in India. In: Balas V, Solanki V, Kumar R, Khari M (editors). Internet of Things and Big Data Analytics for Smart Generation. Springer, Cham; 2019. pp. 213–235.

5. Tran CNN, Tat TTH, Tam VWY, et al. Factors affecting intelligent transport systems towards a smart city: a critical review. International Journal of Construction Management 2022; 23(12): 1982–1998. doi: 10.1080/15623599.2022.2029680

6. Kumar A, Akhtar MAK, Pandey A, et al. Smart city vehicle accident monitoring and detection system using (MEMS, GSM, GPS) raspberry Pi 4. IETE Journal of Research 2022; 1–9. doi: 10.1080/03772063.2022.2043787

7. Pawłowicz B, Salach M, Trybus B. Smart City traffic monitoring system based on 5G cellular network, RFID and machine learning. Engineering Software Systems: Research and Praxis 2018; 151–165. doi: 10.1007/978-3-319-99617-2_10

8. Lytras M, Visvizi A. Who uses Smart city services and what to make of it: Toward interdisciplinary Smart cities. Research. Sustainability 2018; 10(6): 1998. doi: 10.3390/su10061998

9. Alavi AH, Jiao P, Buttlar WG, et al. Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement 2018; 129: 589–606. doi: 10.1016/j.measurement.2018.07.067

10. Trencher G, Karvonen A. Stretching “Smart”: Advancing health and well-being through the smart city agenda. Local Environment 2017; 24(7): 610–627. doi: 10.1080/13549839.2017.1360264

11. Majeed U, Khan LU, Yaqoob I, et al. Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. Journal of Network and Computer Applications 2021; 181: 103007. doi: 10.1016/j.jnca.2021.103007

12. Hahn D, Munir A, Behzadan V. Security and privacy issues in intelligent transportation systems: Classification and challenges. IEEE Intelligent Transportation Systems Magazine 2021; 13(1): 181–196. doi: 10.1109/mits.2019.2898973

13. Bucchiarone A, Battisti S, Marconi A, et al. Autonomous Shuttle-as-a-Service (ASaaS): Challenges, opportunities, and social implications. IEEE Transactions on Intelligent Transportation Systems 2021; 22(6): 3790–3799. doi: 10.1109/tits.2020.3025670

14. Muhammad K, Ullah A, Lloret J, et al. Deep learning for safe autonomous driving: Current challenges and future directions. IEEE Transactions on Intelligent Transportation Systems 2021; 22(7): 4316–4336. doi: 10.1109/tits.2020.3032227

15. Sarmadi H, Entezami A, Yuen KV, Behkamal B. Review on smartphone sensing technology for structural health monitoring. Measurement 2023; 223: 1–26. doi:10.1016/j.measurement.2023.113716

16. Dwivedi SK, Amin R, Vollala S, et al. Blockchain-based secured event-information sharing protocol in internet of vehicles for smart cities. Computers & Electrical Engineering 2020; 86: 106719. doi: 10.1016/j.compeleceng.2020.106719

17. Angelidou M, Psaltoglou A, Komninos N, et al. Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management 2017; 9(2): 146–169. doi: 10.1108/jstpm-05-2017-0016

18. Neilson A, Indratmo, Daniel B, et al. Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications. Big Data Research 2019; 17: 35–44. doi: 10.1016/j.bdr.2019.03.001

19. Meijer A. Datapolis: A Public Governance Perspective on “Smart Cities.” Perspectives on Public Management and Governance 2017; 1(3): 195–206. doi: 10.1093/ppmgov/gvx017

20. Joo H, Ahmed SH, Lim Y. Traffic signal control for smart cities using reinforcement learning. Computer Communications 2020; 154: 324–330. doi: 10.1016/j.comcom.2020.03.005

21. Abdulwahid HM, Mishra A. Deployment Optimization Algorithms in Wireless Sensor Networks for Smart Cities: A Systematic Mapping Study. Sensors 2022; 22(14): 5094. doi:10.3390/s22145094

22. The IoT, the interconnection of devices. Available online: http://dlearn.eu/news/2019/06/the-iot-the-interconnection-of-devices/ (accessed on 15 October 2023).

23. Sookhak M, Tang H, He Y, et al. Security and Privacy of Smart Cities: A Survey, Research Issues and Challenges. IEEE Communications Surveys & Tutorials 2019; 21(2): 1718–1743. doi: 10.1109/comst.2018.2867288

24. Ristvej J, Lacinák M, Ondrejka R. On Smart City and Safe City Concepts. Mobile Networks and Applications 2020; 25(3): 836–845. doi: 10.1007/s11036-020-01524-4




DOI: https://doi.org/10.32629/jai.v7i2.1342

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Sunil Kumar Vohra, V. Suresh Kumar, Ramkumar Krishnamoorthy, Poornima Mahesh, Bhadrappa Haralayya, Nupur Soni, Shashi Kant Gupta

License URL: https://creativecommons.org/licenses/by-nc/4.0/