A Low-Cost Vehicular Infrastructure of Monitoring and Communicating Information for Intelligent Transport Systems
Daniel Rodrigues1, Jessica Nayara Severino1, Andre Luis Cristiani1, Fabiano Tadeu Mathias Costa1, Luis Hideo Vasconcelos Nakamura1 & Rodolfo Ipolito Meneguette1 Show affiliations
- Federal Institute of São Paulo, Brazil
Journal of Computer Science, Volume 15, Issue 7, pp. 930–943 · doi.org/10.3844/jcssp.2019.930.943
Abstract
Currently, vehicles have a very large range of sensors and actuators, capable of not only sensing the condition of vehicles but also the environment around them. The information from these sensors can be used for various services in which they can bring greater comfort, safety and entertainment to the passengers and conductors of the vehicle. However, the great challenge lies in the abstraction and propagation of this information to a service center or to an application in a secure and accessible way to all users. Thus, with the objective of developing low-cost information abstraction devices accessible to all, we propose the development of an architecture that will perform the capture of vehicular data through an electric circuit proposed, as well as the propagation of this information through a web service of monitoring school vans that can be accessed through an application focused on smartphones. To verify the functioning of this architecture we use our monitoring of school vans system as a case study.
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Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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Rodrigues, D., Severino, J. N., Cristiani, A. L., Mathias Costa, F. T., Vasconcelos Nakamura, L. H. & Meneguette, R. I. (2019). A Low-Cost Vehicular Infrastructure of Monitoring and Communicating Information for Intelligent Transport Systems. Journal of Computer Science, 15(7), 930–943. https://doi.org/10.3844/jcssp.2019.930.943
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