Rail and metro tunnels
IDA Tunnel addresses the main climate and safety issues in underground rail systems1, and it relies on a graphical user interface for definition of the tunnel model.
A schematic representation of computational components, such as tunnel sections, branches, platforms, fans, etc. are accompanied by a 3D view, where computed results and moving trains can be animated in the context of a full 3D representation of the tunnel network.

IDA Tunnel permits long-term studies using measured climatic data, including moisture, and complex schedules. Train movement under normal traffic and emergency conditions are simulated, based on user-supplied acceleration, retardation, and maximum power and speed parameters. Stochastic traffic patterns may be described to avoid artificial train synchronization effects.

1D (one-dimensional) air movement driven by train piston effect, buoyancy (stack effect) and wind pressure is modeled as well as air moisture with wall evaporation, condensation and ice build-up.
The following additional air properties are presently computed:
- Age, i.e. total time spent underground.
- Carbon dioxide - mostly generated by occupants.
- Particle concentration, e.g. PM10 as generated by train movements.
- Optical extinction coefficient of fire and diesel smoke.
- CO, NOX and HC, as generated by diesel engines.
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1 except pressure transient discomfort
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Road tunnels
IDA Tunnel handles air flows in road tunnels and related problem of pollution concentration due to emission from vehicles.
The user enters a geometrical description of the tunnel, i.e. height coordinates and cross‐sectional areas along the length of each tunnel branch. Other input data cover ambient conditions (including portal wind pressure), traffic inflow, emission characteristics and coefficients of drag and friction. PIARC and similar emission tables are also included. Tables can be linearly combined and scaled with suitable age, weight and other factors.

Ventilation may be longitudinal or transversal, with airsupply and exhaust terminal devices distributed along thetunnel. For momentum jet fans the user specifies crosssectionalarea, efficiency and air velocity.

Three road traffic models are available: standing, moving and dynamic. The dynamic traffic model is able to predict many of the phenomena associated with real traffic such as congestion, multi‐lane traffic, vehicle and slope dependent maximum speeds.
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