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March 15, 2026International Journal of Vehicle Information and Communication Systems0 citations

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

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PJPeggem JayaramBNB. Nithya

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.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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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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