5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times
Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi +2
In ridepooling systems with electric fleets, charging is a complex decision-making process. Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, lea…
cs.LG2019★ 5 cited
Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques
Jesper Provoost, Luc Wismans, Sander Van der Drift +2
Public road authorities and private mobility service providers need information derived from the current and predicted traffic states to act upon the daily urban system and its spa…