An Agent-based Approach for Transportation Scheduling in Developing Countries

Developing countries can take advantage from the adoption of applications that automates the scheduling of public transportation. However, the adopted solution must suit the peculiarities of those countries, in particular the very dynamic situation of the road and of the traffic, and also the specific management of drivers. Moreover the solutions should have an affordable cost for this kind of countries. In this paper we present an approach to transportation scheduling based on software agents, which has been developed for Buenos Aires in Argentina, a city that exhibits several features common to other cities of developing countries. The paper reports also the results of the application of our approach, which show that the scheduled departures are very close to the desired ones, respect different constrains and are produced in a short time.