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Vladimir Sanchez Padilla
ESPOL Polytechnic University
Computer Science & IT Electrical & Electronics Engineering

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Cyber-physical system based on image recognition to improve traffic flow: A case study Vladimir Sanchez Padilla; Ronald A. Ponguillo; Arnaldo A. Abad; Lissette E. Salas
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1102.687 KB) | DOI: 10.11591/ijece.v10i5.pp5217-5226

Abstract

Vehicular traffic in metropolitan areas turns congested along either paths or periods. As a case study, we have considered a mass transport system with a bus fleet that rides over exclusive lanes across streets and avenues in an urban area that does not allow the circulation of lightweight vehicles, cargo, and motorcycles. This traffic flow becomes congested due to the absence of restriction policies based on criteria. Moreover, the exclusive lanes are at ground level, decreasing lanes for other vehicles. The main objective of this proposal consists of controlling the access to the exclusive lanes by a cyber-physical system following authorization conditions, verifying the permission status of a vehicle by the accurate recognition of license plates to reduce traffic congestion. Therefore, in the case of invading an exclusive lane without permission, the vehicle owner gets a notification of the fine with the respective evidence.
Design and testing of a dynamic reactive signage network towards fire emergency evacuations Christopher S. Baidal; Nestor X. Arreaga; Vladimir Sanchez Padilla
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (754.426 KB) | DOI: 10.11591/ijece.v10i6.pp5853-5860

Abstract

The loss of several lives happens in events of natural disasters, due to the strength of nature or the static evacuation routes that usually directs towards a unique exit pathway. This paper proposes the integration of technology tools such as servers and open-source sensors into a reactive signage network to provide an updated and dynamical emergency evacuation system focusing specifically on fire situations. This pilot project works using microcontrollers that capture and manages into a server the surrounding information, setting evacuation routes and behaving according to the Dijkstra algorithm allowing the identification of obstacles or possible incidents that occur spontaneously during an evacuation. This process sends updates to the server either the evacuation route keeps the same or if a modification is required based on the information provided by the sensors about different areas, warning the shortest path for evacuation using computer vision support.
Co-Authors Arnaldo A. Abad Christopher S. Baidal Lissette E. Salas Nestor X. Arreaga Ronald A. Ponguillo