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System Model for a Continuous Improvement of Road Mass Transit

Authors :
Alexis Quesada-Arencibia
Carmelo R. García
Francisco Alayón
Gabino Padrón
Teresa Cristóbal
Source :
Ubiquitous Computing and Ambient Intelligence ISBN: 9783319675848, UCAmI
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

The quality of service has a main relevance in mass transit systems, being the reliability a key factor for this quality. A system model for the continuous transport data acquisition and computing of these data to improve the quality of service of road mass transit systems is presented in this contribution. This proposal has been conceived to provide services adapted to the needs of the travellers by a continuous monitoring of the transport activity. The data obtained by buses on boarded systems have a special relevance in the proposed model, specially the data provided by the on boarded sensors, such as GPS positioning system. The system model has been applied to analyse the reliability of the operation scheduling of a road mass transit operator, and the results of this test are presented in this paper.

Details

ISBN :
978-3-319-67584-8
ISBNs :
9783319675848
Database :
OpenAIRE
Journal :
Ubiquitous Computing and Ambient Intelligence ISBN: 9783319675848, UCAmI
Accession number :
edsair.doi...........9459c0d691e3d9086767f618f4ad352a
Full Text :
https://doi.org/10.1007/978-3-319-67585-5_22