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Intelligent Technologies in High-Speed Rail Transit Systems

  • Nisha Prasad*
  • , Shailendra Jain
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The rapidly spreading high-speed rail network poses severe challenges in the modern rail industry. These include increased traffic congestion and increased human errors in maintenance and traffic management. All these things raise the safety concerns of rail systems. The application of intelligent technologies not only gives a reliable solution to these problems, but also makes the system faster and more efficient. Many applications are developed for HSR systems based on intelligent technologies such as traffic control systems, fault detection systems, in-cab signaling systems, driver assistance systems, and navigation systems. These technologies have revolutionized various aspects of HSR systems and still continue to do so by enabling high-level automation and auto-adaptive systems. This chapter gives a detailed review of the usage of intelligent technologies in different sectors of high-speed rail (HSR) systems. It focuses on the application of artificial intelligence and machine learning technologies in sections such as traffic management, maintenance, communication, and more.

Original languageEnglish
Title of host publicationEnergy, Environment, and Sustainability
PublisherSpringer
Pages217-249
Number of pages33
DOIs
Publication statusPublished - 2024

Publication series

NameEnergy, Environment, and Sustainability
VolumePart F2419
ISSN (Print)2522-8366
ISSN (Electronic)2522-8374

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering

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