Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions
Open accessAbstract
In recent years, connected vehicle technologies emerged to provide a safer and more connected environment for transportation systems, which has further evolved into cellular vehicle-to-everything (C-V2X) technology. The current study contributes in the direction of future research of smart India @2047 in connected vehicles. The study presents the diverse aspects of 5G V2X as a comprehensive overview of Vehicle-to-Everything (V2X) technology that covers the significant scope of V2X technology, including its development, components, functionality, use cases, and future potential. It is observed that few surveys are available that cover limited aspects of 5G V2X communication technologies, with one or two preferred architectures, and only few provides the definitions of 3GPP use cases. Emergency vehicles (EMV) are identified as an important part of an emergency service, and the main goal of EMV is to reduce the response time. The study discusses the research challenges in the field of V2X and presents future directions to reduce the probability of untoward incidents and enhance the EMV response time. The work leverages by synthesizing the latest research in 5G V2X technological advancements like Multiple Input Multiple Output, Beamforming, and Integrated Sensing and Communication, highlighting the roles of 5G architectures and providing a deeper understanding of the 5GAA V2X use cases from the perspective of societal benefit. The study provides a comprehensive future research di…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These shortcomings limit the performance and flexibility of existing intelligent traffic control solutions.
“These shortcomings limit the performance and flexibility of existing intelligent traffic control solutions [11].”
From Multi-agent Reinforcement Learning for Real-time Traffic Control in 6G-Enabled VANET Environments (2025) · cites this paper as [11]
Cites
Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink
Decarli, N., Bartoletti, S., Bazzi, A., Stirling-Gallacher, R. A., & Masini, B. M. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3365770 · Cited by 35 · see citing works
NR Sidelink Performance Evaluation for Enhanced 5G-V2X Services
Tabassum, M., Bastos, F. H., Oliveira, A., & Klautau, A. (2023) · Vehicles · doi:10.3390/vehicles5040092 · Cited by 20 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Multi-agent Reinforcement Learning for Real-time Traffic Control in 6G-Enabled VANET Environments
(2025) · International Journal of Intelligent Engineering and Systems · doi:10.22266/ijies2025.1130.62 · Cited by 6 · see citing works
- Authors
- Pawar, V., Zade, N., Vora, D., Khairnar, V., Oliveira, A., Kotecha, K., & Kulkarni, A.
- Affiliations
- Symbiosis International University (IN)
- University of Mumbai (IN)
- Michigan Technological University (US)
- Swinburne University of Technology (AU)
- ORCID
- Venue
- IEEE Access
- Published
- 2024
- Volume
- 12
- Pages
- 183937-183960
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4404739689
- Cited by
- 55
- References
- 2
- Citations by year
- 2026: 31 · 2025: 24
- FWCI
- 5.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- Digital Commons - Michigan Tech (Michigan Technological University) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- 5G Use Case Laboratory at Symbiosis Institute of Technology, Pune, India, sponsored by the Department of Telecommunications, Government of India
- School of Engineering, Swinburne University of Technology, Australia
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
- Keywords
- 5G, vehicle-to-everything communication, cellular V2X, connected vehicles, intelligent transportation systems, MIMO, beamforming, integrated sensing and communication
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review