Planning problems in passenger railway range from long term strategic decision making to
the detailed planning of operations. Operations research methods have played an …

Railway system performances depend on effective dynamic scheduling and train operation
control. The fast expansion and increasing complexity of high-speed railway (HSR) networks …

Given rising energy prices and environmental concerns, train energy-efficient operation
techniques are paid more attention as one of the effective methods to reduce operation costs …

In this paper an operation mode which is based on the stop-skip** approach is studied in
urban railway lines under uncertainty. In this mode, each train follows a specific stop …

High-speed railway (HSR) systems have been develo** rapidly in China and various
other countries throughout the past decade; as a result, the question of how to efficiently …

Energy efficiency is paid more and more attention in railway systems for reducing the cost of
operation companies and emissions to the environment. In subway systems, the …

The train scheduling problem for urban rail transit systems is considered with the aim of
minimizing the total travel time of passengers and the energy consumption of the trains. We …

Train timetables with a combination of short-length and full-length services can adapt to
spatial and temporal variations in demand. However, with such timetables, some …

One of the most important airline's products is to determine the aircraft routing and
scheduling and fleet assignment. The key input data of this problem is the traffic forecasting …

This study proposes a deep reinforcement learning approach for bi-direction single-track
railway scheduling called DRLA-eTGM. The goal is to define the departure times and track …