Digitalization of the marketing activities of enterprises: Case study
N Shpak, O Kuzmin, Z Dvulit, T Onysenko, W Sroka - Information, 2020 - mdpi.com
The pace and scale of the digitalization of today's global information society open up new
opportunities for business. At the same time, they set new challenges for business owners …
opportunities for business. At the same time, they set new challenges for business owners …
Modeling train operation as sequences: A study of delay prediction with operation and weather data
This paper presents a carefully designed train delay prediction model, called FCLL-Net,
which combines a fully-connected neural network (FCNN) and two long short-term memory …
which combines a fully-connected neural network (FCNN) and two long short-term memory …
A Bayesian network model to predict the effects of interruptions on train operations
Based on the Bayesian network (BN) paradigm, we propose a hybrid model to predict the
three main consequences of disruptions and disturbances during train operations, namely …
three main consequences of disruptions and disturbances during train operations, namely …
Identifying the rail operating features associated to intermodal freight rail operation delays
J Pineda-Jaramillo, F Viti - Transportation Research Part C: Emerging …, 2023 - Elsevier
Intermodal freight rail operations represent a complex stochastic system that is impacted by
disruptions and disturbances from diverse causes like extreme weather events, unplanned …
disruptions and disturbances from diverse causes like extreme weather events, unplanned …
Blockchain‐enabled virtual coupling of automatic train operation fitted mainline trains for railway traffic conflict control
G Muniandi - IET Intelligent Transport Systems, 2020 - Wiley Online Library
Railway traffic conflicts are common in the day‐to‐day operation of trains due to the limited
track capacity, the varying priority of trains, localised weather conditions, maintenance …
track capacity, the varying priority of trains, localised weather conditions, maintenance …
A high-speed railway network dataset from train operation records and weather data
High-speed train operation data are reliable and rich resources in data-driven research.
However, the data released by railway companies are poorly organized and not …
However, the data released by railway companies are poorly organized and not …
[PDF][PDF] Delineating regional differentiation on the development of the railway infrastructure in Northeast India through an efficient synthetic indicator
The north-eastern region of India presents intra-regional disparity, which is reflected in every
aspect of development. The transport sector, especially railway transportation, is one of the …
aspect of development. The transport sector, especially railway transportation, is one of the …
Cascading delays for the high-speed rail network under different emergencies: A double layer network approach
Highspeed rail (HSR) has formed a networked operational scale in China. Any internal or
external disturbance may deviate trains' operation from the planned schedules, resulting in …
external disturbance may deviate trains' operation from the planned schedules, resulting in …
Short-term arrival delay time prediction in freight rail operations using data-driven models
Despite rail's growing popularity as a mode of freight transportation due to its role in
intermodal transportation and numerous economic and environmental benefits, optimizing …
intermodal transportation and numerous economic and environmental benefits, optimizing …
[HTML][HTML] The impact of railway incidents on train delays: A case of the Swedish Railway Network
G Mukunzi, CW Palmqvist - Journal of Rail Transport Planning & …, 2024 - Elsevier
A foreseeable challenge with a substantial increase in railway mode share will be how to
uphold punctuality. Higher volumes of train traffic will result in timetables that are more …
uphold punctuality. Higher volumes of train traffic will result in timetables that are more …