Vehicular Ad Hoc Networking and Intelligent Transportation Systems

Vehicular Ad Hoc Networking refers to decentralised wireless communication among vehicles and between vehicles and roadside infrastructure, forming dynamic networks that adapt in real time to high mobility and topology changes. Intelligent Transportation Systems integrate these networks with sensor arrays, cloud and edge computing, artificial intelligence and control algorithms to optimise road safety, traffic flow, energy consumption and environmental impact. Core applications include collision avoidance, cooperative adaptive cruise control, platooning, dynamic route guidance and signal timing optimisation. Standardised radio access technologies—ranging from Dedicated Short-Range Communications to cellular Vehicle-to-Everything extensions—provide low-latency, reliable links. Digital twins enable real-time simulation of network behaviour for predictive resource allocation, while machine-learning approaches support adaptive spectrum management and routing under varying channel conditions. Key challenges lie in maintaining quality of service amid rapid topology changes, ensuring robust cybersecurity and privacy protection, and harmonising heterogeneous technologies across regions. The global adoption of these systems promises significant reductions in accidents, congestion and emissions, underpinning the development of smart and sustainable urban mobility solutions.

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Vehicular Ad Hoc Networking and Intelligent Transportation Systems publication trend

The graph below shows the total number of articles in vehicular ad hoc networking and intelligent transportation systems across all publications each year (not limited to Nature Index journals).

Technical terms

Vehicular Ad Hoc Network (VANET): A decentralised wireless network enabling direct vehicle-to-vehicle and vehicle-to-infrastructure communication without fixed infrastructure.

Vehicle-to-Everything (V2X): A communication paradigm covering interactions among vehicles, infrastructure, networks and pedestrians to improve road safety and efficiency.

Dedicated Short-Range Communications (DSRC): An IEEE-standardised wireless protocol for low-latency vehicular safety applications over short distances.

5G New Radio V2X (5G NR V2X): The evolution of cellular-based vehicular communications defined by 3GPP, offering enhanced reliability, throughput and latency.

Digital Twin: A virtual model of physical systems or networks used to simulate and optimise real-time behaviour and resource allocation.

Multi-Agent Reinforcement Learning (MARL): A machine-learning framework in which multiple autonomous agents learn cooperative or competitive strategies through interaction with their environment.

References

1. An optimized framework for VANET routing: A multi-objective hybrid model for data synchronization with digital twin. International Journal of Intelligent Networks (2023).
2. Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. IEEE Journal on Selected Areas in Communications (2019).
3. A Tutorial on 5G NR V2X Communications. IEEE Communications Surveys & Tutorials (2021).