Electric Public Transit Optimization

Overview

Developing comprehensive simulation and optimization tools for electric public transit systems, addressing challenges in fleet management, charging infrastructure, and grid integration.

Key Projects

E-Transit-Bench

A simulation platform for analyzing electric public transit bus fleet operations, integrating transportation and power grid co-simulation to optimize fleet performance.

Publication: E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations, ACM e-Energy 2022

Grid-Aware Charging for Mixed Fleets

Developed a robust hierarchical MILP model optimizing charging and trip assignments for mixed bus fleets (electric and ICE buses), cutting costs and enhancing sustainability.

Publication: Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit, IEEE ITSC 2024
Recognition: Presented at the 27th IEEE International Conference on Intelligent Transportation Systems

BTE-Sim: Fast Public Transit Simulation

Created a fast, multi-layered transit simulation analyzing population demand, traffic, and road networks to optimize routes and improve efficiency.

Publication: BTE-Sim: Fast simulation environment for public transportation, IEEE BigData 2022

Technologies

• Transportation-Grid Co-simulation
• Mixed Integer Linear Programming
• Network Optimization
• Python, SUMO, GridLAB-D
• Real-time Data Processing

Real-World Impact

Applied to Chattanooga, Tennessee transit system, demonstrating practical solutions for transitioning to electric bus fleets while maintaining service quality and reducing operational costs.