STEPS software
STEPS software predicts pedestrian movement under
both normal and emergency conditionsSuccessful buildings
require people to be able to move freely under normal conditions
and evacuate rapidly in an emergency. Using simulation to optimise
people flow can result in a more agreeable environment and more
effective fire safety design in large and busy locations.STEPS is a simulation tool we designed to predict pedestrian movement under both normal and emergency conditions. It originates from the Group's extensive experience in designing transport systems, in particular underground rail stations and interchanges, with long experience in developing computer simulation tools for engineering design.
By producing real-time 3D simulations in an easily understandable graphical form, results can be interpreted by both non-specialists and experts alike – helping to identify natural bottlenecks and preferred exits, as well as testing evacuation routes and timings for different emergency scenarios.
Introducing STEPS 3.0
STEPS predicts people movement through
three-dimensional space STEPS has been continually developed
over the last two years and we have now released a new version,
STEPS 3.0, which contains innovative features that improve upon the
capability, ease of use and visualisation of STEPS models. A free
demonstration is available to all clients. For more info email STEPS@mottmac.com.Key features
Some key features of the STEPS software can be summarised as follows:- modern agent-based microsimulation approach
- applicable to both normal and emergency operations
- extensive track record
- efficient handling of large and complex models
- direct import of 2D and 3D CAD models
- 3D interactive (virtual reality) graphical user interface
- route system as alternative to cumbersome origin-destination matrix
- moving vehicles eg trains and lifts
- variety of pedestrian movement metrics with graphical representation
Track record
STEPS has been applied worldwide both by Mott MacDonald and other major engineering consultancies to a variety of major projects and is one of the most widely used pedestrian modelling packages for metro and underground rail systems. Some typical example projects are listed below.- London Heathrow Terminal 5: station and track transit system
- Minneapolis Light Rail Transit, USA
- Rotterdam Metro, The Netherlands
- Delhi metro, India
- KCRC Shatin-Central Link, Hong Kong
- Luton Network Rail station, UK
- International Centre for Life, Newcastle, UK
General principles
STEPS employs a modern agent-based approach which predicts the movement of discrete individuals (virtual people) through three-dimensional space. This is in contrast to the older generation of pedestrian models which treat the problem as one of a continuum flow. The major advantages of agent-based models are that they give a more realistic representation of pedestrian movement and allow the elucidation of subtle but important details of pedestrian movement, thereby giving much greater insight to the designer.
STEPS is one of the most widely used pedestrian
modelling softwareThe approach uses principles borrowed from
the theory of cellular automata which are well-established in
modelling pedestrian dynamics. Pedestrian crowds, like many self-organising systems made up of individual entities, display complex emergent modes of behaviour which arise from simple deterministic and non-deterministic principles followed by the individuals making up the population.
The STEPS model is able to recreate this type of emergent crowd behaviour which is fundamental to effective pedestrian simulation. The modelling approach has been verified and validated by comparison with analytical solutions, internationally-accepted design codes and full-scale testing.
Normal and evacuation modes
The two key modes of operation for STEPS are:- normal mode
- evacuation mode
A snapshot from STEPSIn evacuation mode,
STEPS can be used to calculate evacuation times, exit usage and
other criteria essential for fire-engineering design while in
normal mode other parameters may be of interest such as level of
service and space usage. Normal mode can be used to examine routine operating conditions, for example morning and evening peak flows, but also to assess operational incidents such as escalator failure or variations in train headway which may cause crowding and other problems.
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