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

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