Real-Time Traffic Management Using Feature Selection and Deep Learning in Vehicular Fog Computing

Keyphrases

• Deep Learning 100%
• Feature Selection 100%
• Vehicular Fog Computing 100%
• Real-time Traffic Management 100%
• Deep Learning Methods 33%
• Particle Swarm Optimization 33%
• Urban Environment 33%
• Prediction Accuracy 33%
• Intelligent Transportation Systems 33%
• Management Solutions 33%
• Traffic Management 33%
• Expected Outcomes 33%
• Reduced Latency 33%
• Long Short-term Memory Network 33%
• Promising Direction 33%
• Route Management 33%
• Traffic Pattern Analysis 33%
• Advanced Traffic Management Systems 33%
• Congestion Prediction 33%
• Urban Congestion 33%
• Traffic Data Processing 33%

Computer Science

• Deep Learning Method 100%
• Feature Extraction 100%
• Feature Selection 100%
• Fog Computing 100%
• Traffic Management 100%
• Pattern Detection 33%
• Particle Swarm Optimization 33%
• Data Processing 33%
• Intelligent Transportation System 33%
• Long Short-Term Memory Network 33%
• Traffic Management System 33%
• Prediction Accuracy 33%
• Urban Environment 33%
• Traffic Pattern 33%
• Deep Learning Technique 33%
• Existing Traffic 33%
• Expected Outcome 33%