A review on artificial intelligence in high-speed rail

M Yin, K Li, X Cheng - Transportation Safety and Environment, 2020 - academic.oup.com
High-speed rail (HSR) has brought a number of social and economic benefits, such as
shorter trip times for journeys of between one and five hours; safety, security, comfort and on …

An optimization model for express delivery with high-speed railway

L Zhen, T Fan, H Li, S Wang, Z Tan - Transportation Research Part E …, 2023 - Elsevier
With the expansion of the high-speed railway (HSR) network in China, high-speed rail
express delivery (HSReD) is being used to satisfy the increasing demand for express cargo …

A prescriptive Dirichlet power allocation policy with deep reinforcement learning

Y Tian, M Han, C Kulkarni, O Fink - Reliability Engineering & System Safety, 2022 - Elsevier
Prescribing optimal operation based on the condition of the system, and thereby potentially
prolonging its remaining useful lifetime, has tremendous potential in terms of actively …

Recent advances in artificial intelligence for improving railway operations

V Vatakov, E Pencheva… - 2022 30th National …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) technologies play an important role in digitalizing railway industry.
The AI based solutions can improve railway operation and maintenance, increase safety …

Learning-based dynamic ticket pricing for passenger railway service providers

K Kamandanipour, SH Yakhchali… - Engineering …, 2023 - Taylor & Francis
This article proposes a data-driven ticket dynamic pricing methodology for passenger
railway service providers. There is a finite purchasing horizon, and the ticket prices should …

Understanding the effects of travel demand management on metro commuters' behavioural loyalty: a hybrid choice modelling approach

N Huan, S Hess, E Yao - Transportation, 2022 - Springer
As part of efforts to promote sustainable mobility, many cities are currently experiencing the
rapid expansion of their metro network. The consequent growth in ridership motivates a …

Optimization Problem of Pricing and Seat Allocation Based on Bilevel Multifollower Programming in High‐Speed Railway

L Deng, J Xu, N Zeng, X Hu - Journal of advanced …, 2021 - Wiley Online Library
This paper studies the multistage pricing and seat allocation problems for multiple train
services in a high‐speed railway (HSR) with multiple origins and destinations (ODs). Taking …

Dynamic revenue management in a passenger rail network under price and fleet management decisions

K Kamandanipour, S Haji Yakhchali… - Annals of Operations …, 2023 - Springer
Revenue management for passenger rail transportation has a vital role in the profitability of
public transportation service providers. This study proposes an intelligent decision support …

From features to benefits: a data-driven approach for the economic design of adaptive quality control

Z Xu, S Minner - International Journal of Production Research, 2024 - Taylor & Francis
The current economic design of control charts assumes specific quality distributions, limits
parameter choices, and over-relies on historical samples, hindering companies from …

Joint optimization of multistage pricing and seat allocation for high-speed railways integrating pre-sale period division

J Xu, L Deng, X Hu, Q Wang… - Ieee Transactions On …, 2023 - ieeexplore.ieee.org
This paper studies the joint optimization problem of multistage pricing and seat allocation
integrating pre-sale period division in high-speed railways (HSRs), taking the fluctuation of …