This article reviews the current state-of-the-art of fiber optic sensing/monitoring technologies, including the basic principles of various optical fiber sensors, novel sensing and
This paper reports the modelling methodology and control architecture being developed for the optimal energy control of the “Passeig de Gracia – Line 3” subway station in Barcelona, in the ambit of the
The paper presents the possibility of technical solutions based on the use of renewable energy systems (RES), intended to supply the demand of the lightning sys
Abstract The paper deals with the actual theme of power management in traction systems presenting a study about the use of regenerative braking energy in electric subway transportation.
A modeling framework for subway operation and maintenance system (SOMS), which analyzes the train condition data based on both train sensor network data and basis train
Two-level approach to energy-efficient operation. Curve of running resistance of the Dalian subway line. Different driving strategies between two
With the growing global deployment of Fiber-to-the-Home (FTTH) networks driven by the demand for ensuring high-capacity broadband services, mobile network operators (MNOs) face
Railway Optical Infrastructure Railway fiber backbone automation is now a foundational requirement for modern rail and metro networks. Signaling, CCTV, passenger information systems, traction
This book provides a comprehensive presentation on energy-efficient management in subway system via operations research and uncertain optimization methods. It
This inaugural benchmarking work by the WCTRS Task Force not only sets a new standard for evaluating subway efficiency but also provides a critical tool for policymakers and transit
Nevertheless, the majority of current operating subway networks have faced significant deterioration in their provided services. This deterioration is not just confined to the unavailability of
In this paper, energy-efficient traffic data aggregation and energy-aware routing are presented to increase the network lifetime of the system.
The objective of the project is to establish functional and interface requirements specification of AI applications for the optical network maintenance, so that AI can empower maintenance, improve
Developing a secure energy and data transactions framework. This paper is centered on establishing a secure framework for the optimal concurrent operation of a smart city, encompassing
Subway regenerative energy optimization is an emerging energy-efficient manage-ment approach, approach that optimizes train timetable such that the regenera-tive energy from braking trains can be
The objective of the SEAM4US research is the de-velopment of an advanced control system for the “Passeig de Gracia – Line 3” (PdG-L3) subway sta-tion in Barcelona capable of setting up the
The on-board supercapacitor energy storage system for subway vehicles is used to absorb vehicles braking energy. Because operating voltage, maximum braking current and discharge
Software defined passive optical network (SPON) architecture is designed with OpenFlow protocol extension in this paper, based on which a novel energy-efficient control strategy is proposed
The readers will learn numerous new modeling ideas on reducing traction energy consumption and improving regenerative energy utilization, and find this work a useful reference.
This book provides a comprehensive presentation on energy-efficient management in subway system via operations research and uncertain optimization methods. It is suitable for
In 2017, Yang et al. presented a comprehensive survey on subway energy-efficient management literature, in which speed control and timetable optimization are two mainly used
This article describes a new way to use deep reinforcement learning (DRL) to help metro networks with predictive maintenance that adapts to
On‐board energy storage devices (OESD) and energy‐efficient train timetabling (EETT) are considered two effective ways to improve the usage rate of regenerative braking energy (RBE) of
Abstract The ventilation and air-conditioning (VAC) system represents one of the most significant contributors to energy consumption in urban rail transit, and the optimization of this system
Summary Recommendation ITU-T L.25 deals with general features in relation to the maintenance and operation of optical fibre cable networks. This is the latest revision of a Recommendation that was
A novel approach using an integration between deep reinforcement learning and digital twin is proposed in this study to improve the efficiency of railway maintenance which other
The challenge for Beijing''s underground system is having real time connectivity management information across multiple sites, each of which is critical to
This class of control systems is based on advanced environmental models, directly coupled with an environment monitoring sensor network, that is capable of interpreting the sensed data (both indoor
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