Using smart road signs to predict and manage traffic congestion

BFP/RGP/ICT/22/327 

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Using smart road signs to predict and manage traffic congestion

Abstract

Last decades solar energy became viable energy where solar radiation is converted into electricity by employing Photovoltaic (PV) systems. Oman gets enormous amounts of solar radiation intensity and is considered one of the highest in the world due to its location within the global solar belt. However, environmental aspects are hindering the most to the utilization of PV systems in Oman such as humidity in coastal regions, lack of rainfalls and high-temperature rates as well as high dust concentrations, especially in arid regions. Among all these factors, dust accumulations on PV panels or as so-called “soiling” forms the most hindrance to the productivity of PV panels. Studies held in the gulf countries indicate that the average power degradation due to dust accumulation causes about 70% of power loss [1]. Dust grains and particles are proved to absorb and reflect radiation from the sun increasingly as layers of accumulation being formed with time.

Data flow diagram describing the overall process behind STIMF [arrows represent data flows, rounded-corner rectangles represent processes, rectangles represent external users/actors, and boxes marked with “D” represent data stores (database)

(Farrag, S. G., Sahli, N., El-Hansali, Y., Shakshuki, E. M., Yasar, A., & Malik, H. (2021). STIMF: a smart traffic incident management framework. Journal of Ambient Intelligence and Humanized Computing, 12, 85-101.)