V2V-Communication

Abstract

The technologyknownas vehicle-to-vehicle (V2V) communication is revolutionizing intelligent transportationsystems by facilitating smoothdataflowbetweenautomobilestoimprovetrafficcontrol,roadsafety,andthedrivingexperience.Innovativetrackmanagement techniques that use sensor fusion and V2V signals to enhance perception and lessen occlusion issues in autonomous vehicles are proposedbythis research, which incorporatesdevelopments inV2V-enabled systems. Authentication methods, encryptionalgorithms, and intrusion detection systems designed for V2V networks are all thoroughly examined, with an emphasis on security that takes into account IoT protocols for dependabilityand efficiency. Experiments demonstratethe effectiveness ofpredictive trajectorymodels and real-timecommunicationin loweringaccident ratesbyhighlightingreliablecollisionavoidancesystems for urbantrams. Thepotential for machine learning techniques to improve system efficiency under various circumstances is further shown by a sizable dataset that documents multi-modal V2V communication scenarios. The significance of safe, effective, and scalable V2V communication in influencing the direction of connected and self-driving mobility is highlighted bythese developments taken together.

Introduction

The document explores the importance, advancements, methodology, and impact of Vehicle-to-Vehicle (V2V) communication in the development of intelligent transportation systems (ITS). V2V technology enables vehicles to exchange real-time data such as position, speed, and driving intent, enhancing road safety, traffic efficiency, and situational awareness.

Key Points:

1. Significance of V2V Communication

• V2V is crucial for connected and autonomous vehicles (CAVs).

• Enables real-time communication to reduce collisions and improve decision-making.

• Facilitates sensor fusion—integrating data from radar, cameras, and signals for better object detection and traffic management.

2. Challenges

• Protocol optimization, security vulnerabilities, and integration with infrastructure are major hurdles.

• Ensuring data encryption, authentication, and protection from cyber threats is essential for adoption.

3. Research & Real-World Applications

• DeepSense-V2V dataset supports testing and benchmarking V2V technologies in diverse scenarios.

• V2V is not limited to roads—used effectively in urban rail systems for real-time tram communication and collision avoidance.

• Security studies stress the need for robust frameworks using encryption and intrusion detection.

4. Methodology

• Literature review conducted via databases like IEEE and ACM.

• Security protocols analyzed (authentication, encryption, intrusion detection).

• Real-world testing conducted using a V2V testbed with vehicles equipped with mmWave, radar, LiDAR, and GPS.

• Data collected, synchronized, and processed for evaluating V2V performance under realistic conditions.

5. Results & Analysis

• V2V significantly reduces accident rates, especially in blind spots, intersections, and emergency braking.

• Enhances driver awareness and proactive decision-making.

• Latency reduction and data accuracy are key to system effectiveness.

6. Comparison with Related Technologies:

7. Visual Representation (Described)

• A graph demonstrates the reduction in traffic accidents over time with the adoption of V2V systems, underscoring their effectiveness.

Conclusion

In intelligent transportation systems, vehicle-to-vehicle (V2V) communication is a game-changing technology that improves traffic control, road safety, and driving experiences. With an emphasis on communication protocols including DSRC, C-V2X, and 5G, this researchexamined the development ofV2V. Significant gains in safetyand traffic flow were demonstrated bythe researchapproaches assessed,whichincludedsimulationmodelsandreal-worldexperiments.Inadditiontohighlightingadvantageslikeshortertraveltimes and fewer accidents, the findings also pointed out drawbacks including unreliable communication in cities. For V2V to succeed, technical, legal, and securitychallenges must be overcome. Globaltransportation systemswillbecome safer, more effective, and more sustainable asa result ofthe developing technologies.V2V will have a greaterimpact ifit is integrated withother vehicle technologies like V2I and V2X. For V2V to reach its full potential, future studies must concentrate on enhancing system scalability and interoperability.

References

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Copyright

Copyright © 2025 Nihana Sidhik, Ms. Sumi M. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.