Bibliographic citations
Rivas, A., Paredes, J. (2020). Solución tecnológica para optimizar el proceso de identificación y atención de accidentes de tránsito en Lima Metropolitana utilizando Smart Traffic [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/653688
Rivas, A., Paredes, J. Solución tecnológica para optimizar el proceso de identificación y atención de accidentes de tránsito en Lima Metropolitana utilizando Smart Traffic [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/653688
@misc{renati/1288612,
title = "Solución tecnológica para optimizar el proceso de identificación y atención de accidentes de tránsito en Lima Metropolitana utilizando Smart Traffic",
author = "Paredes Lévano, Jose María",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
Currently, Peru has the highest mortality rate in the region regarding traffic accidents, reaching more than 50,000 vehicle accidents in Lima and more than 500 deaths per year, according to Policía Nacional del Perú. This is mainly due to the recklessness of drivers and / or pedestrians, but also to the delay in attention due to the current traffic conditions in the city, which increases the rate of fatalities. Local entities in charge are developing projects to improve traffic, however, it has been identified that current solutions do not have sufficient characteristics to cover the problems presented. The main objective of this project is to implement a technological solution based on Smart Traffic to optimize the identification and attention of traffic accidents in Lima Metropolitana, using road infrastructure, technology and analytical solutions. This solution consists of data capture through various devices, data processing and analysis through an analytics engine, the execution of actions in real time for the detection and attention of traffic accidents, and the presentation of results. and reports, all supported by the existing road infrastructure and by technologies such as Internet of Things, Big Data & Analytics and Cloud Computing. Also, the proposed model has been validated based on test scenarios with existing metrics, and a continuity plan has been drawn up to ensure the viability and high availability of the proposal.
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