Detection and restoration of click degraded audio based on high-order sparse linear prediction

Abstract

With the continued focus on growing energy
prices and environmental concerns, lowering
energy consumption and maintaining the
environmental sustainability of railway systems
is becoming a crucial problem to which greater
attention is being paid. In recent years, urban
rail systems have grown in popularity as a
method for reducing traffic congestion and
pollution in metropolitan areas. Despite the fact
that the railway system is likely the most energy-
efficient mode of land-based transportation,
there is still potential for improvement. In this
regard, significant amounts of energy can be
saved by installing energy storage on an
electrified transit system allowing energy from
braking to be captured. However, the amount of
energy saved is dependent on the amount of
energy transferred during braking, which relies
on the drive cycle and the vehicle parameters.
The overall benefit can be determined by
analyzing the energy flow through components
in an electrified transit system. In this paper,
electrified transit system energy flows are
analyzed for Addis Ababa light rail transit
system. The methodology used assesses energy
flows in the traction system, establishing where
energy is dissipated. The analysis is performed
for a specified drive cycle. Finally, the analysis
showed that 37.9 % of the total energy loss over
a drive cycle could be saved in Addis Ababa
light rail transit system.