Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times

no code implementations • 30 Aug 2022 • Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi, Geert J. Heijenk, Luc J. J. Wismans

The results demonstrate that ITX outperforms all baseline methods by at least 5% (equivalent to $70, 000 for a 6, 000 vehicle operation) per week in terms of a monetary reward function which was modeled to replicate the profitability of a real-world ridepooling system.

Decision Making