相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Integration of Genetic Algorithm and Support Vector Machine to Predict Rail Track Degradation
Amir Falamarzi et al.
2018 6TH INTERNATIONAL CONFERENCE ON TRAFFIC AND LOGISTIC ENGINEERING (ICTLE 2018) (2019)
Artificial neural network model for ground vibration amplitudes prediction due to light railway traffic in urban areas
G. Paneiro et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Application of LIDAR technology for rail surface monitoring and quality indexing
Masood Taheri Andani et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT (2018)
Modeling of track geometry degradation and decisions on safety and maintenance: A literature review and possible future research directions
Christian Higgins et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT (2018)
CONDITION MONITORING OF RAILWAY TRACK SYSTEMS BY USING ACCELERATION SIGNALS ON WHEELSET AXLE-BOXES
Andrzej Chudzikiewicz et al.
TRANSPORT (2018)
Correlation of track irregularities and vehicle responses based on measured data
Tomas Karis et al.
VEHICLE SYSTEM DYNAMICS (2018)
CONDITION MONITORING OF RAILWAY TRACK SYSTEMS BY USING ACCELERATION SIGNALS ON WHEELSET AXLE-BOXES
Andrzej Chudzikiewicz et al.
TRANSPORT (2018)
The inspection of level crossing rails using guided waves
Mark Evans et al.
CONSTRUCTION AND BUILDING MATERIALS (2018)
Rail Degradation Prediction Models for Tram System: Melbourne Case Study
Amir Falamarzi et al.
JOURNAL OF ADVANCED TRANSPORTATION (2018)
Fuzzy Approach in Rail Track Degradation Prediction
Mostafa Karimpour et al.
JOURNAL OF ADVANCED TRANSPORTATION (2018)
Data-driven optimization of railway maintenance for track geometry
Siddhartha Sharma et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Principal components analysis and track quality index: A machine learning approach
Ahmed Lasisi et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Susceptibility of existing and planned Chinese railway system subjected to rainfall-induced multi-hazards
Kai Liu et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2018)
Passenger flow forecast model for intercity high speed railway - A neural network-based analysis
Yong Wang et al.
JOURNAL OF INTERDISCIPLINARY MATHEMATICS (2018)
Filling the space between trams and place: Adapting the 'Movement & Place' framework to Melbourne's tram network
Matthew J. Diemer et al.
JOURNAL OF TRANSPORT GEOGRAPHY (2018)
We Can Track You if You Take the Metro: Tracking Metro Riders Using Accelerometers on Smartphones
Jingyu Hua et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2017)
Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling
He-Boong Kwon
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2017)
POINTS OF SIGNIFICANCE Ensemble methods: bagging and random forests
Naomi Altman et al.
NATURE METHODS (2017)
Track geometry estimation of a conventional railway from car-body acceleration measurement
Mai Odashima et al.
MECHANICAL ENGINEERING JOURNAL (2017)
Mountain Railway Alignment Optimization with Bidirectional Distance Transform and Genetic Algorithm
Wei Li et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Urban rail track condition monitoring based on in-service vehicle acceleration measurements
Xiukun Wei et al.
MEASUREMENT (2016)
Exploring the impacts of factors contributing to tram-involved serious injury crashes on Melbourne tram routes
Farhana Naznin et al.
ACCIDENT ANALYSIS AND PREVENTION (2016)
Establishment of Track Quality Index Standard Recommendations for Beijing Metro
Reng-Kui Liu et al.
DISCRETE DYNAMICS IN NATURE AND SOCIETY (2015)
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
Kennedy Were et al.
ECOLOGICAL INDICATORS (2015)
Analyzing passenger train arrival delays with support vector regression
Nikola Markovic et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Planning and scheduling efficient heavy rail track maintenance through a Decision Rules Model
Rui Santos et al.
RESEARCH IN TRANSPORTATION ECONOMICS (2015)
Railway assets: A potential domain for big data analytics
Adithya Thaduri et al.
INNS CONFERENCE ON BIG DATA 2015 PROGRAM (2015)
Comparison of performance of concrete and steel sleepers using experimental and discrete element methods
S. Laryea et al.
TRANSPORTATION GEOTECHNICS (2014)
Reliability analysis of maintenance operations for railway tracks
N. Rhayma et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
Development of Railway Track Geometry Indexes Based on Statistical Distribution of Geometry Data
J. Sadeghi
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE (2010)
Development of improved railway track degradation models
Javad Sadeghi et al.
STRUCTURE AND INFRASTRUCTURE ENGINEERING (2010)
分享论文
