Applications of genetic algorithm and its variants in rail vehicle systems: A bibliometric analysis and comprehensive review
Railway systems are time-varying and complex systems with nonlinear behaviors that
require effective optimization techniques to achieve optimal performance. Evolutionary …
require effective optimization techniques to achieve optimal performance. Evolutionary …
The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points
We discuss the problem of finding an energy-efficient driving strategy for a train journey on
an undulating track with steep grades subject to a maximum prescribed journey time. We …
an undulating track with steep grades subject to a maximum prescribed journey time. We …
Timetable optimization for regenerative energy utilization in subway systems
In subway systems, kinetic energy can be converted into electrical one by using
regenerative braking systems. If regenerative energy (RE) is fully used, the energy demands …
regenerative braking systems. If regenerative energy (RE) is fully used, the energy demands …
Evaluation of strategies to reducing traction energy consumption of metro systems using an optimal train control simulation model
Increasing attention is being paid to the energy efficiency in metro systems to reduce the
operational cost and to advocate the sustainability of railway systems. Classical research …
operational cost and to advocate the sustainability of railway systems. Classical research …
A stochastic model for the integrated optimization on metro timetable and speed profile with uncertain train mass
The integrated timetable and speed profile optimization model has recently attracted more
attention because of its good achievements on energy conservation in metro systems …
attention because of its good achievements on energy conservation in metro systems …
Energy consumption optimization of train operation for railway systems: Algorithm development and real-world case study
Traction energy is the main component of railway operation energy, and a timetable that
predefines the running time of train operation can be used to determine the traction energy …
predefines the running time of train operation can be used to determine the traction energy …
Deep learning based energy efficient optimal timetable rescheduling model for intelligent metro transportation systems
Due to the recent advances in intelligent transportation systems (ITS), Automatic Train
System (ATS) gained significant attention among the research community. An effective ATS …
System (ATS) gained significant attention among the research community. An effective ATS …
A deep reinforcement learning approach for the energy-aimed train timetable rescheduling problem under disturbances
At metro stations with very large passenger volumes and severe congestion, random
disturbances often occur, resulting in the original offline optimal timetable no longer …
disturbances often occur, resulting in the original offline optimal timetable no longer …
Prioritization by consensus of enhancements for sustainable mobility in urban areas
Nowadays the European cities usually present important problems at economic, social and
environmental levels. The European Union has published policies to ease this issue, and …
environmental levels. The European Union has published policies to ease this issue, and …
Energy-saving optimization strategy of multi-train metro timetable based on dual decision variables: A case study of Shanghai Metro line one
In metro systems, reducing traction energy consumption and increasing the use of
regenerative braking energy (RBE) are two important methods of energy-saving …
regenerative braking energy (RBE) are two important methods of energy-saving …