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].