A proposal of information system architecture for public transport

Abstract

In order to provide a quality service to the clients, the public road transport companies have to perform operations scheduling. To achieve this goal, these companies have to handle various types of information: geographic, traffic, statistical, technical, etc. Processing these kinds of information leads to a problem: the high level of dynamism and high volume of data implied. In this paper we explain a system model to resolve this problem; this model is based on distributed computing and remote sensing. Nowadays, this model is used in the metropolitan road transport of Gran Canaria (Canary Islands, Spain) and it enables the automatic processing of all the information related to the production, generated by a fleet of 305 buses, transporting more than 30,000,000 passengers and controlling all the planning operations of the fleet.