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March 15, 2026International Journal of Vehicle Information and Communication Systems

Deep Q-learning for smart intersection routing in vehicular ad hoc network

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Authors

PJPeggem JayaramBNB. Nithya

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Overview

This approach improves routing efficiency in vehicular ad hoc networks, indicating potential benefits for traffic management.

Key Points

  • To enhance routing decisions at smart intersections using deep Q-learning algorithms in vehicular ad hoc networks.
  • Utilized deep Q-learning algorithms
  • Focused on routing optimization
  • Targeted vehicular ad hoc network scenarios.
  • Improved routing efficiency in vehicular networks is observed
  • Potential reductions in vehicle congestion are noted.

Cite This Study

Jayaram et al. (2025) studied this question.

synapsesocial.com/papers/69b5ff4f83145bc643d1b825https://doi.org/10.1504/ijvics.2025.10076984
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