Method and system for operating a fleet of vehicles

Abstract

A method for operating a plurality of vehicles is disclosed. The method comprises receiving () a first set of vehicle data and a second set of vehicle data, the vehicle data comprising information about each vehicle of the plurality of vehicles, each vehicle operating along at least one fixed route, receiving () a first set of environmental data and a second set of environmental data, the environmental data comprising information about each fixed route, and estimating (), by means of the global self-learning model and each local-self learning model, a schedule parameter for each vehicle of the plurality of vehicles based on the received first set of vehicle data, the received first set of environmental data, the received second set of vehicle data, the received second set of environmental data, and a predefined interaction model between the global self-learning model and each local-self learning model. The method further comprises receiving () a measured schedule parameter for each vehicle, comparing () the estimated schedule parameter with the received measured schedule parameter, and updating () the global self-learning model and each local self-learning model based on the comparison of the estimated schedule parameter with the received measured schedule parameter.