Multi-criteria, co-evolutionary charging behavior: An agent-based simulation of urban electromobility

Keyphrases

• Adaptive Charging 33%
• Agent-based Simulation 100%
• Charger 33%
• Charging Behavior 100%
• Charging Demand 33%
• Charging Station 66%
• City Planning 33%
• Co-evolutionary 100%
• Decision Maker 33%
• Electric Vehicle 33%
• Electromobility 100%
• Evolutionary Learning 33%
• Financial Resources 33%
• Learning Model 33%
• Multi-criteria 100%
• Munich 33%
• Novel Agents 33%
• Organizational Resources 33%
• Planning Task 33%
• Planning Tools 33%
• Simulation Framework 66%
• Spatiotemporal 33%
• Task Simulation 33%
• Transport Sector 33%
• Urban Areas 33%
• User Behavior 33%
• Utilization Behavior 33%

Social Sciences

• Decision Maker 100%
• Decision Making 100%
• Electric Vehicles 100%
• Urban Planning 100%
• User-Behaviour 100%

Computer Science

• Case Study 100%
• Decision Maker 50%
• Decision-Making 50%
• Financial Resources 50%
• Organizational Resource 50%
• Presented Approach 100%
• User Behavior 50%