AIMC Topic: Railroads

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Detection of Safe Passage for Trains at Rail Level Crossings Using Deep Learning.

Sensors (Basel, Switzerland) Sep 18, 2021
The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the safety of train traffic. Traffic control systems require reliable sensors for determining the state of anRLC. Fusion of information from a number of sensor...
Seasons Railroads Deep Learning Accidents, Traffic Weather
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Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.

Accident; analysis and prevention Jan 22, 2021
The consolidation of Highway-Railroad Grade Crossing (HRGC) is one of the effective approaches to decrease the number of crashes between trains and vehicles. From 2015-2019, there were 57 HRGC crashes at crossings in East Baton Rouge Parish (EBRP), r...
Humans Models, Theoretical Accidents, Traffic Data Mining Machine Learning Male Spatial Analysis Railroads
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Fault Diagnosis for High-Speed Train Axle-Box Bearing Using Simplified Shallow Information Fusion Convolutional Neural Network.

Sensors (Basel, Switzerland) Aug 31, 2020
Axle-box bearings are one of the most critical mechanical components of the high-speed train. Vibration signals collected from axle-box bearings are usually nonlinear and nonstationary, caused by the complicated operating conditions. Due to the high ...
Reproducibility of Results Railroads Neural Networks, Computer Algorithms
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Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth.

PloS one Jul 2, 2020
Understanding which transportation modes people use is critical for smart cities and planners to better serve their citizens. We show that using information from pervasive Wi-Fi access points and Bluetooth devices can enhance GPS and geographic infor...
Railroads Humans Motor Vehicles City Planning Urban Population Supervised Machine Learning Geographic Information Systems Denmark Wireless Technology Automobile Driving Transportation Accelerometry Walking Smartphone
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A Hybrid PSO-SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction.

International journal of environmental research and public health Mar 5, 2020
Incorporating safety risk into the design process is one of the most effective design sciences to enhance the safety of metro station construction. In such a case, the concept of Design for Safety (DFS) has attracted much attention. However, most of ...
Models, Theoretical Support Vector Machine Railroads Facility Design and Construction Construction Industry Algorithms Risk Assessment
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Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks.

Ecotoxicology and environmental safety Nov 17, 2018
Particulate matter with aerodynamic diameter less than 2.5 µm (PM) in indoor public spaces such as subway stations, has represented a major public health concern; however, forecasting future sequences of quantitative health risk is an effective metho...
Air Pollutants Air Pollution, Indoor Railroads Particulate Matter Republic of Korea Risk Assessment Environmental Monitoring Neural Networks, Computer Forecasting Humans
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Driver's behavioural changes with new intelligent transport system interventions at railway level crossings--A driving simulator study.

Accident; analysis and prevention May 6, 2015
Improving safety at railway level crossings is an important issue for the Australian transport system. Governments, the rail industry and road organisations have tried a variety of countermeasures for many years to improve railway level crossing safe...
Safety Young Adult Adult Automobile Driving Head Movements Computer Simulation Automation Acceleration Railroads Middle Aged Australia Cooperative Behavior Female Male Environment Design Humans Accidents, Traffic Artificial Intelligence
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Artificial intelligence-assisted method of structural health monitoring of subway shield tunnel based on insulation degradation location.

PloS one Jan 1, 2025
Stray current leakages inevitably arise to seriously threaten the reliability of the subway tunnel structure and third-party system through electrochemical corrosion. Location of stray current leakage provides novel approach to mitigate stray current...
Humans Electric Conductivity Railroads Corrosion Artificial Intelligence Algorithms
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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.

PloS one Jan 1, 2025
In recent decades, automatic train operation (ATO) systems have been gradually adopted by many metro systems, primarily due to their cost-effectiveness and practicality. However, a critical examination reveals computational constraints, adaptability ...
Reinforcement Machine Learning Railroads Expert Systems Reinforcement, Psychology Algorithms Deep Learning Humans
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