Planning Optimization for Inductively Charged On-Demand Automated Electric Shuttles Project at Greenville, South Carolina

Engineering

• Optimisation Problem 100%
• State of Charge 50%
• Power Electronics 50%
• Battery Capacity 50%
• Road 50%
• Installation Cost 50%
• Design Parameter 50%
• Search Algorithm 50%
• Powertrain 50%
• Battery Power 50%
• Automated System 50%
• Charging Infrastructure 50%
• Effective Solution 50%
• Power Level 50%
• Design Objective 50%
• Urban Mobility 50%
• Traffic Data 50%
• Driving Speed 50%
• Power Material 50%
• Road Construction 50%
• Electric Vehicle 50%
• Pilot Project 50%