Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Published:
📌 Key Contributions
- Introduced mathematical formulation to optimize the energy consumption of public transit agencies that operates mixed fleets of Electric (EV) and Internal Combustion Engine (ICEVs) Vehicles.
- Transformed the mathematical formulation to solve the problem using integer programming to obtain optimal solution.
- Introduced solution approach comprised of heuristics and meta-heuristics to solve larger problem instances in polynomial time.
📝 Publications
The work is published in: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI21) “Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service” [AAAI-21].
Other relavent publication: ACM Transactions on Internet Technology (TOIT) “Data-driven prediction and optimization of energy use for transit fleets of electric and ICE vehicles” [ACM]
💻 Code & Data
The implementation and sample data can be found in the following [Code and Data].