A traffic demand forecasting model for internal junction in a multi-level bus terminal with RFID monitoring systems

Keyphrases

• Adaptive Control 33%
• Artificial Neural Network Method 33%
• Bus Station 33%
• Bus Terminal 100%
• Congestion 33%
• Control Model 33%
• Control Strategy 33%
• Demand Forecasting 100%
• Forecasting Model 33%
• High Density 33%
• Monitoring System 100%
• Nagoya 33%
• New York City 33%
• Port Authority 33%
• Pre-timed Control 33%
• RFID Reader 33%
• Signal Control 33%
• T-junction 66%
• Taipei 66%
• Three-level Structure 33%
• Traffic Demand Prediction 100%
• Traffic Flow Data 33%

Engineering

• Adaptive Control 33%
• Artificial Neural Network 33%
• Bus Terminals 100%
• Control Model 33%
• Control Strategy 33%
• Demand Forecasting 100%
• Internals 100%
• Monitoring System 100%
• Neural Network Approach 33%
• Peak Hour 33%
• Peak Period 33%

Computer Science

• Adaptive Control Systems 50%
• Artificial Neural Network 50%
• Control Signal 50%
• Control Strategy 50%
• Flow Information 50%
• Monitoring System 100%
• Neural Network Approach 50%
• Port Authority 50%
• Traffic Demand 100%