Minimizing cost overrun in rail projects through 5D-BIM: A systematic literature review

OAI Hussain, RC Moehler, SDC Walsh… - Infrastructures, 2023 - mdpi.com
Mega projects delivering rail infrastructure are constantly seeking cost-effective and efficient
technologies to sustain the growing population. Building information modeling (BIM) and …

A Systematic Review of Railway Trespassing: Problems and Prevention Measures

S Grabušić, D Barić - Sustainability, 2023 - mdpi.com
Railway trespassing is a growing problem in both rail and road transport. A high percentage
of rail accidents are a result of the former. Factors that contribute to trespassing accidents …

Intelligent cotter pins defect detection for electrified railway based on improved Faster R-CNN and dilated convolution

X Wu, J Duan, L Yang, S Duan - Computers in Industry, 2024 - Elsevier
The cotter pin (CP) is a vital fastener for the catenary support components (CSCs) of high-
speed electrified railways. Due to the vibration and excitation caused by the passing of …

Fusing expert knowledge with monitoring data for condition assessment of railway welds

C Hoelzl, G Arcieri, L Ancu, S Banaszak, A Kollros… - Sensors, 2023 - mdpi.com
Monitoring information can facilitate the condition assessment of railway infrastructure, via
delivery of data that is informative on condition. A primary instance of such data is found in …

Intelligent detection of fastener defects in ballastless tracks based on deep learning

W Ye, J Ren, C Lu, AA Zhang, Y Zhan, J Liu - Automation in Construction, 2024 - Elsevier
The detection of fastener defects is crucial for ensuring the safety and reliability of high-
speed train operations. This paper proposes an intelligent algorithm named YOLO-Fastener …

Multi-Context Point Cloud Dataset and Machine Learning for Railway Semantic Segmentation

A Kharroubi, Z Ballouch, R Hajji, A Yarroudh, R Billen - Infrastructures, 2024 - mdpi.com
Railway scene understanding is crucial for various applications, including autonomous
trains, digital twining, and infrastructure change monitoring. However, the development of …

Collaborative optimization method for multi-train energy-saving control with urban rail transit based on DRLDA algorithm

L Dong, L Qin, X Xie, L Zhang, X Qin - Applied Sciences, 2023 - mdpi.com
With the traffic congestion problem deteriorating, people increasingly choose urban rail
transit (URT) to travel. Although URT alleviates traffic congestion, the long-term operation of …

A new form of train detection as a solution to improve level crossing closing time

M Zawodny, M Kruszyna, WK Szczepanek, M Korzeń - Sensors, 2023 - mdpi.com
The critical points on the rail and road network are their intersections, ie, level crossings.
During a train crossing, car traffic is stopped. This reduces the fluidity of traffic on the road …

[PDF][PDF] Multi-Context Point Cloud Dataset and Machine Learning for Railway Semantic Segmentation. Infrastructures 2024, 9, 71

A Kharroubi, Z Ballouch, R Hajji, A Yarroudh, R Billen - 2024 - pdfs.semanticscholar.org
Railway scene understanding is crucial for various applications, including autonomous
trains, digital twining, and infrastructure change monitoring. However, the development of …

RSDNet: A New Multiscale Rail Surface Defect Detection Model

J Du, R Zhang, R Gao, L Nan, Y Bao - Sensors, 2024 - mdpi.com
The rapid and accurate identification of rail surface defects is critical to the maintenance and
operational safety of the rail. For the problems of large-scale differences in rail surface …