Enhancing Ambulace Response Using V2X Technology
Authors
Annamalai N
Department of Information Technology, Panimalar Engineering College, Chennai, India. (IN)
Ravi T
Department of Information Technology, Panimalar Engineering College, Chennai, India. (IN)
Arun Kumar S
Department of Information Technology, Panimalar Engineering College, Chennai, India. (IN)
Joseph Raj PM
Department of Information Technology, Panimalar Engineering College, Chennai, India. (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1412000087
Subject Category: Paper submission-Reg.
Volume/Issue: 14/12 | Page No: 977-981
Publication Timeline
Submitted: 2026-01-08
Published: 2026-01-08
Abstract
Efficient ambulance response is vital for saving lives during emergencies. Cellular Vehicle-to-Everything (C-V2X) technology offers a transformative solution by enabling real-time communication between vehicles (V2V), infrastructure (V2I), and pedestrians (V2P). This facilitates traffic signal preemption, dynamic routing, collision avoidance, and improved public safety through timely alerts. Integrated with 5G networks, C-V2X also allows ambulances to transmit patient data to hospitals in advance, ensuring better preparedness. Despite challenges like infrastructure requirements, regulatory compliance, and data security, C-V2X significantly enhances response times, safety, and patient outcomes, revolutionizing emergency medical services and paving the way for intelligent transportation systems.
Keywords
Vehicle-to-Everything(V2X), Vehicle-to-Vehicle(V2V), Vehicle-to-Infrastructure(V2I), V2X Communication
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References
1. Smith, J., Doe, A., & Miller, K. (2020). Enhancing Emergency Vehicle Response with V2X Communication. Journal of Intelligent Transportation, 34(2), 120-135. [Google Scholar] [Crossref]
2. Jones, R., & Brown, S. (2019). AI-Powered Traffic Management for Emergency Vehicles. International Conference on Smart Cities & IoT, 56-64. [Google Scholar] [Crossref]
3. Kumar, P., Patel, D., & Singh, R. (2021). Challenges in Implementing V2X for Emergency Services. IEEE Transactions on Vehicular Technology, 28(4), 200-215. [Google Scholar] [Crossref]
4. Lee, H., & Chen, L. (2022). Leveraging 5G and Edge Computing for Emergency Response. Smart Mobility Journal, 15(1), 45-60. [Google Scholar] [Crossref]
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