Active control for traffic lights in regions and corridors: An approach based on evolutionary computation

Keyphrases

• Active Control 100%
• Evolutionary Computation 100%
• Traffic Lights 100%
• Traffic Condition 50%
• Genetic Algorithm 50%
• Big Cities 50%
• Computational Intelligence 50%
• Optimization Algorithm 50%
• Time Delay 50%
• Modeling Techniques 50%
• Predictive Models 50%
• Model Building 50%
• Urban Street 50%
• Vehicle Fleet 50%
• Average Delay 50%
• Dynamic Networks 50%
• Evolutionary Approach 50%
• Algorithm Evolution 50%
• Network Transportation 50%
• Traffic Signal Control 50%
• Brazil 50%
• Number of Stops 50%
• Traffic Signal Timing 50%
• Control Plan 50%
• Computational Representation 50%
• AIMSUN 50%
• Differential Evolution Technique 50%
• Active Traffic Control 50%
• Signal Timing Control 50%
• Microscopic Simulators 50%
• Intelligent Transportation Systems 50%
• Urban Centers 50%
• Urban Congestion 50%
• Intelligence Modeling 50%

Computer Science

• Traffic Signal 100%
• Evolutionary Computation 100%
• Active Control 100%
• Dynamic Network 50%
• Traffic Condition 50%
• Evolutionary Approach 50%
• Differential Evolution 50%
• Strong Tendency 50%
• Genetic Algorithm 50%
• time-delay 50%
• Collected Data 50%
• Predictive Model 50%
• Traffic Control 50%
• Optimization Algorithm 50%
• Artificial Intelligence 50%
• Intelligent Transportation System 50%

Engineering

• Active Control 100%
• Collected Data 50%
• Delay Time 50%
• Genetic Algorithm 50%
• Control Plan 50%
• Intelligent Transportation System 50%
• Traffic Control 50%
• Brazil 50%
• Artificial Intelligence 50%