Real-time management of a fleet of vehicles allows greater responsiveness to contingencies that occur over time as the occurrence of new requests, road accidents, traffic congestion, etc. A Better decision making becomes possible, as is the ability to take proactive actions.
M. Gmira, M. Gendreau, A. Lodi, J-Y. Potvin, 2017. Travel Speed Prediction Using Machine Learning Techniques. ITS World Congress 2017 Montreal. October 29 – November 2.
M. Gmira, M. Gendreau, A. Lodi, J-Y. Potvin, 2018. Travel Speed Prediction Based on Learning Methods for Home Delivery. DS4DM-2018-012