Related Experiment Video
Updated: Jun 5, 2025

04:13
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
6.7K
Sustainable and smart rail transit based on advanced self-powered sensing technology
Hongjie Tang1, Lingji Kong2, Zheng Fang2
1School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, P.R. China.
Iscience
|December 4, 2024
Summary
Rail transit is advancing with self-powered, intelligent systems using artificial intelligence and the internet of things (AIoT). This review explores AIoT frameworks for sustainable energy and infrastructure management in railways.
Area of Science:
- Engineering
- Computer Science
- Transportation Technology
Background:
- Expanding railway networks necessitate sustainable energy and intelligent infrastructure management.
- Rapid advancements in rail self-powered technology integrate artificial intelligence (AI) and the internet of things (IoT).
Purpose of the Study:
- To review self-powered and self-sensing systems in rail transit, analyzing their characteristics and potential.
- To explore an IoT framework for sustainable self-powered sensing in railways.
- To investigate emerging technologies and future trends in rail transit.
Main Methods:
- Literature review of self-powered and self-sensing systems in rail transit.
- Analysis of AIoT frameworks, including device nodes, network communication, and platform deployment.
- Exploration of cloud and edge computing, machine learning (ML), and deep learning (DL) applications in railway IoT.
Main Results:
- Identified current characteristics and innovative potentials of self-powered and self-sensing systems.
- Proposed an IoT framework leveraging sustainable self-powered sensing systems.
- Highlighted the role of cloud/edge computing and ML/DL for comprehensive railway monitoring and management.
Conclusions:
- Sustainable self-powered sensing systems are crucial for intelligent railway infrastructure management.
- AIoT, supported by cloud/edge computing and ML/DL, offers significant potential for enhancing railway operations.
- Cross-disciplinary research is vital for future advancements in rail transit technology.
Related Concept Videos
Types of Global Positioning System Surveys
49
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
49
Field Application of Global Positioning System
30
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
30

