Self diagnostic system for Predictive Maintenance of traffic light control system

Ekene, S. Mbonu; Micheal, C. Ndinechi; Okafor, K. C.; Genevra, Ezekwe Chinwe

doi:10.1109/nigercon.2013.6715669

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Another related research for this project is a self-diagnostic system for predictive maintenance of traffic light control system which carried out by Ekene et al [13]. Short message service (SMS) via GSM is used to communicate with the operator when the intensity of the traffic light is not function as desired.…”

Section: Industrial Engineering and Managementmentioning

confidence: 99%

A Self-Diagnostic System for Photovoltaic Based Highway Signage Boards and Warning Devices

Jin¹,

Singh²

2016

Ind Eng Manage

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Federal highways and state roads in Malaysia are sites of most traffic accidents. One contributing factor is the lack of or low visibility of road signage at dangerous bends or road corners. It is very important to have safety warning signage at strategic locations to warn drivers on conditions or hazards ahead by cautioning maximum allowable vehicle speed limit. However, signage boards alone by themselves are not enough. The relevant authorities have added flashing beacons to enhance visibility but the availability of on-grid power supply often hinders their installation. This is now a non-issue with the advent of solar power. With emerging flashing beacon signage scattered over a wide area, there is an operational need to monitor their performance status remotely for timely effective maintenance and repair. This paper describes the development of a smart self-diagnostic algorithm for a wirelessly monitored autonomous solar powered highway flashing beacon.

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Section: Industrial Engineering and Managementmentioning

confidence: 99%