OUR SERVICES
Operations Analysis & Simulation
We can analyse the best solutions to improve reliability of existing systems and determining the capital investment needed to support growth on the existing network and accommodating network expansion.
Our capabilities in rail operations analysis include feasibility studies, service/operating plan development, trip time predictions, network simulation/capacity analysis, fleet requirements analyses, cost-benefit studies, energy savings (“green”) studies, alternatives analyses, and conceptual design development. We use a simulation tool, SimuX that offers unique capabilities in integrated traction power/operations modelling, dispatch automation and signalling system analysis.
When scheduled rail operations are approaching (or, sometimes, exceeding) the practical capacity of the line at maximum scheduled speed, network operations simulation is a valuable tool to assess the reliability of an existing or proposed operation. SimuX support this type of analysis, which can be performed under both “deterministic” (no variability in performance of equipment or behaviour of system) and “stochastic” (randomization that produces differences in each simulation run despite identical inputs) conditions.
Our simulation capability extends to single train type simulations, as well as traction power simulation.
RailSis can assist with determining the best energy-saving strategies, including coasting algorithm.
When new vehicles are proposed, we determine their effect on system capacity, as acceleration profiles, braking rates and/or dwell times may change with a new fleet.
Our capabilities include services to develop the most operable track layouts. We can quantify the trip time and capacity of alternative layouts, guiding railroads and transit agencies to the most cost-effective designs.
RailSis’s simulation tool can carry out detailed single train type simulations, multiple train rail network simulations for operational evaluation as well as traction power simulation. As transit agencies and rail networks with electric train operations strive to reduce consumption and peak demand, we can model the best energy-saving strategies. Our simulations can include coasting, reduced tractive effort, voltage dependent current limits, deployment of regenerative braking – all of which can make rail mode greener.
Our capabilities in rail operations analysis include feasibility studies, service/operating plan development, trip time predictions, network simulation/capacity analysis, fleet requirements analyses, cost-benefit studies, energy savings (“green”) studies, alternatives analyses, and conceptual design development. We use a simulation tool, SimuX that offers unique capabilities in integrated traction power/operations modelling, dispatch automation and signalling system analysis.
When scheduled rail operations are approaching (or, sometimes, exceeding) the practical capacity of the line at maximum scheduled speed, network operations simulation is a valuable tool to assess the reliability of an existing or proposed operation. SimuX support this type of analysis, which can be performed under both “deterministic” (no variability in performance of equipment or behaviour of system) and “stochastic” (randomization that produces differences in each simulation run despite identical inputs) conditions.
Our simulation capability extends to single train type simulations, as well as traction power simulation.
RailSis can assist with determining the best energy-saving strategies, including coasting algorithm.
When new vehicles are proposed, we determine their effect on system capacity, as acceleration profiles, braking rates and/or dwell times may change with a new fleet.
Our capabilities include services to develop the most operable track layouts. We can quantify the trip time and capacity of alternative layouts, guiding railroads and transit agencies to the most cost-effective designs.
RailSis’s simulation tool can carry out detailed single train type simulations, multiple train rail network simulations for operational evaluation as well as traction power simulation. As transit agencies and rail networks with electric train operations strive to reduce consumption and peak demand, we can model the best energy-saving strategies. Our simulations can include coasting, reduced tractive effort, voltage dependent current limits, deployment of regenerative braking – all of which can make rail mode greener.