Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales

Keyphrases

• Diffusion Model 100%
• Dynamic Traffic 100%
• Influence Maximization 100%
• City Scale 100%
• Traffic Bottleneck 100%
• Influence Spread 80%
• Problem-based 20%
• Density Increase 20%
• Congestion 20%
• NP-hard Problem 20%
• Unique Properties 20%
• Influence Maximization Problem 20%
• Near-optimal 20%
• Traffic Condition 20%
• Identification Problem 20%
• Submodularity 20%
• Traffic Network 20%
• Traffic Demand 20%
• Optimal Algorithm 20%
• Maximization Methods 20%
• Traffic Planning 20%
• Most Influential Node 20%

Computer Science

• Dynamic Traffic 100%
• Diffusion Model 100%
• Experimental Result 50%
• Decision-Making 50%
• Identification Problem 50%
• Unique Property 50%
• Influential Node 50%
• Traffic Condition 50%
• Traffic Network 50%
• Optimal Algorithm 50%
• Traffic Demand 50%

Social Sciences

• Traffic Congestion 100%
• Maximization 100%
• Road Network 40%
• Variance 20%
• Traffic Planning 20%
• Decision Making 20%