Macroscopic Traffic Cooperation and Optimization

Multi-scale optimization approach combining metaheuristic algorithms with microscopic traffic simulation to address both freight and passenger mobility challenges in metropolitan environments with electric and automated vehicle technologies.

• Bi-Level Optimization: Upper-level routing zone partitioning and lower-level metaheuristic-based vehicle routing for scalable fleet dispatching
• Electric Vehicle Considerations: Integration of en-route opportunity charging, battery constraints, and energy-efficient routing for sustainable freight transport
• Demand-Side Cooperation: Passenger-centered shared mobility framework allowing flexible trip coordination and cooperative ride-sharing strategies
• Real-World Constraints: Time window compliance, traffic condition integration, and dynamic rerouting capabilities for practical deployment
• Simulation-Based Validation: Large-scale testing using SUMO microsimulation on realistic New York City network topology
• Performance Optimization: Multi-objective algorithms balancing travel time, energy consumption, service quality, and operational costs

Demonstrated significant improvements in operational efficiency and sustainability metrics across both freight and passenger transportation scenarios through comprehensive simulation studies on metropolitan-scale networks.

• Freight Transportation: Substantial reduction in travel distance and time for battery-electric truck fleet operations with optimized dispatching
• Passenger Mobility: Significantly reduced operating costs for shared automated vehicles while improving customer service quality
• Energy Efficiency: Optimized charging strategies and energy-conscious routing leading to enhanced sustainability performance
• Scalability Validation: Successful algorithm performance on large-scale New York City network demonstrating real-world applicability
• Service Quality: Maintained high service levels while achieving operational efficiency through demand-side cooperation strategies
• Economic Impact: Demonstrated cost-effectiveness of cooperative mobility services compared to traditional transportation models