STEPS software
STEPS software predicts pedestrian movement under
both normal and emergency conditionsSuccessful buildings –
including office blocks, sports stadia, shopping malls and
underground stations – 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 microsimulation tool designed by Mott MacDonald for the prediction of pedestrian movement under both normal and emergency conditions. It originates from the extensive experience of Mott MacDonald in the design of transportation systems, in particular underground rail stations and interchanges, combined with its long experience in developing computer simulation tools for engineering design.
A screenshot from the STEPS softwareBy
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.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 packages for metro and underground rail systemsThe
approach uses principles borrowed from the theory of cellular
automata which are now well-established in the modelling of
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
STEPS predicts the movement of discrete individuals
(virtual people) through three-dimensional spaceIn
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.![Mott MacDonald Home [Accesskey '0']](/images/logo.gif)