Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
Decision-Making Intelligent System for Passenger of Urban Transports
verfasst von : Pedro Wences, Alicia Martinez, Hugo Estrada, Miguel Gonzalez
Erschienen in: Ubiquitous Computing and Ambient Intelligence
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Smart transportation systems have now been implemented in many cities. The implementation of these systems requires having a solid infrastructure and specialized devices. However, the implementation of these systems does not consider the infrastructure of other countries. As result, its implementation can be costly. Specifically, in Mexico, Urban Passenger Transport has few transportation units to meet the demand of the population. Also, these do not provide precise information of arrival times of buses. In this research work, we present a software system that combats the inconveniences of public transportation in Mexico, providing information in real time that will allow the passengers to make informed or correct decisions regarding their journey. The information provided to the passengers will be the availability of seats and the arrival times of the buses.