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Build and simulate models for any type of venue

LEGION is a modeling and simulation software that enables you to build a precise model of a space, which can be simulated and analyzed based on a set of key inputs, such as design, demand, and operational data. You can use LEGION to run and evaluate virtually any place where people converge, such as railway stations, sports stadiums, airports, office complexes, theatres, piazzas, and transport hubs.

outside view of building with lots of windows and people shopping

Better predict and improve pedestrian flow and safety

LEGION enables you to simulate people movement to explore various design alternatives. Accurately test designs and plans to enhance footfall, wayfinding, crowd management, safety, and security strategies. Get insight to make improved decisions using visualization and predictions, combining planning information with the automated predictions of how people move. Evaluate and visualize pedestrian traffic flows at a venue before it’s built, as well as explore a range of scenarios and make informed decisions–and trade-offs–by modeling and simulating up-front.

Collaborate faster and more easily

When working with various project team members on tight timelines, it’s important to have access to the most up-to-date data. LEGION offers a design environment that enables you and your team members to work on models simultaneously, regardless of their location, using a shared set of libraries and workflows. By incorporating data from a wide range of open applications and geospatial formats, you can reduce time spent on rework and manual data entry.

Model without restrictions

LEGION supports complex building geometry and designs, allowing you to quickly create, visualize, test, and interact with the model to explore various “what if” scenarios. Use automated routing, increased intelligence, and simplified objects to build and audit models. You can easily reuse your data when you define and share objects across projects and teams. An integrated CAD drawing feature also allows you to quickly modify your designs.

“LEGION was fundamental and decisive for the successful performance of Corinthians-Itaquera station during the opening game of the 2014 FIFA World Cup. It provided the fluidity required to safely serve the public.”

Technical Capabilities

Build Precise Models Principle of Least Effort Unbounded Movement Choice Intelligent Entities Output and Analyses

Build Precise Models

Create precise models of how a space will be used

Import architectural drawings (CAD) to define physical spaces available for pedestrian use
Specify the anticipated pedestrian demand for the space
Designate areas where interim activities, such as queuing or waiting, occur
Link operational data to the model
Plan routes and automatically lay out navigation maps
Populate the model based on activities and characteristics, such as size, speed, and personal preferences.

Principle of Least Effort

Uses the concept of least effort, or least cost, as the basis of pedestrian logic
Dissatisfaction is caused by physical and psychological factors that lower journey quality. Factors that contribute to dissatisfaction include:
- Inconvenience – desire line divergence stress
- Discomfort – personal space compression stress
- Frustration – preferred speed relinquishment stress

Unbounded Movement Choice

Utilize model space that is continuous, rather than structured, based on a pixel grid
Select any vector when optimizing step choice to satisfy individual preferences and objectives in the context of changing physical constraints
Follows a two-stage process:
- Macro-navigation
  - This stage uses the selection of an entity’s desired direction to its next target, from its current position
  - Represented by a sequence of intermediate, focal targets that trace the shortest path from an entity’s location to the place where it leaves the model (or reaches its final destination)
- Micro-navigation
  - This stage uses advanced, proprietary, artificial intelligence algorithms to apply micro-navigation to its entities, within a simulation
  - Algorithms enable entities to exhibit realistic pedestrian movement
  - Entities have an area of perception that adjusts dynamically, based on instantaneous information and accumulated memories
  - Entities assess information to decide their best immediate step
  - Micro-navigation algorithm takes several important considerations into account, including:
    - Early detection and avoidance of physical obstacles
    - Accommodation of personal space, preferred speed and more
    - Maneuvering to avoid collisions
    - Learning from accumulated memories
    - The ability to adjust individual preferences and attributes

Intelligent Entities

Social, physical, and behavioral characteristics are assigned probabilistically from established profiles
Social characteristics include gender, age, culture and pedestrian type, all of which shape typical movement preferences
Physical characteristics determine body sizes
Behavioral characteristics include memory, adaptability, and preferences for unimpeded walking speeds, personal space, and acceleration

Output and Analyses

Numerical and graphical outputs are derived from a model and user-defined areas, interrogated to provide user-defined combinations, and based on user-defined thresholds
You can measure and quantify the performance of a site with respect to experience, circulation, and safety
Key metrics include counts, flows, distances, densities, journey times, speeds, and levels of service
Heat maps provide intuitive overviews to help identify areas requiring deeper analyses, including line graphs, histograms, stacked histograms, cumulative data, or even raw data, which can then be used for statistical analyses

Build Precise Models

Create precise models of how a space will be used

Import architectural drawings (CAD) to define physical spaces available for pedestrian use
Specify the anticipated pedestrian demand for the space
Designate areas where interim activities, such as queuing or waiting, occur
Link operational data to the model
Plan routes and automatically lay out navigation maps
Populate the model based on activities and characteristics, such as size, speed, and personal preferences.

Principle of Least Effort

Uses the concept of least effort, or least cost, as the basis of pedestrian logic
Dissatisfaction is caused by physical and psychological factors that lower journey quality. Factors that contribute to dissatisfaction include:
- Inconvenience – desire line divergence stress
- Discomfort – personal space compression stress
- Frustration – preferred speed relinquishment stress

Unbounded Movement Choice

Utilize model space that is continuous, rather than structured, based on a pixel grid
Select any vector when optimizing step choice to satisfy individual preferences and objectives in the context of changing physical constraints
Follows a two-stage process:
- Macro-navigation
  - This stage uses the selection of an entity’s desired direction to its next target, from its current position
  - Represented by a sequence of intermediate, focal targets that trace the shortest path from an entity’s location to the place where it leaves the model (or reaches its final destination)
- Micro-navigation
  - This stage uses advanced, proprietary, artificial intelligence algorithms to apply micro-navigation to its entities, within a simulation
  - Algorithms enable entities to exhibit realistic pedestrian movement
  - Entities have an area of perception that adjusts dynamically, based on instantaneous information and accumulated memories
  - Entities assess information to decide their best immediate step
  - Micro-navigation algorithm takes several important considerations into account, including:
    - Early detection and avoidance of physical obstacles
    - Accommodation of personal space, preferred speed and more
    - Maneuvering to avoid collisions
    - Learning from accumulated memories
    - The ability to adjust individual preferences and attributes

Intelligent Entities

Social, physical, and behavioral characteristics are assigned probabilistically from established profiles
Social characteristics include gender, age, culture and pedestrian type, all of which shape typical movement preferences
Physical characteristics determine body sizes
Behavioral characteristics include memory, adaptability, and preferences for unimpeded walking speeds, personal space, and acceleration

Output and Analyses

Numerical and graphical outputs are derived from a model and user-defined areas, interrogated to provide user-defined combinations, and based on user-defined thresholds
You can measure and quantify the performance of a site with respect to experience, circulation, and safety
Key metrics include counts, flows, distances, densities, journey times, speeds, and levels of service
Heat maps provide intuitive overviews to help identify areas requiring deeper analyses, including line graphs, histograms, stacked histograms, cumulative data, or even raw data, which can then be used for statistical analyses

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What is LEGION?

LEGION is a package of two applications: LEGION Model Builder and LEGION Simulator.

What is LEGION Model Builder?

LEGION Model Builder is a simulation and modeling software that enables you to run and evaluate virtually any place where people converge, such as railway stations, sports stadiums, airports, office complexes, theaters, piazzas, and transport hubs. As an interoperable software, you can easily import building geometry from a large range of CAD/IFC file types. Simply build and audit models with automated routing, increased intelligence, and simplified objects. Easily reuse your data when you define and share objects across projects and teams, and link operational data to the model. Quickly prepare and import your model with data template that is flexible and simple to audit. An integrated CAD drawing feature also allows you to quickly modify designs. Reduce your auditing time and make quick updates when you consume data such as destination data and entity types.

What is LEGION Simulator?

LEGION Simulator enables you to simulate people’s movement to explore various design alternatives. Its data-rich analysis output supports infrastructure assets that range from metro stations and airports to stadiums and shopping malls. With LEGION Simulator, you can accurately test designs and plans to enhance footfall, wayfinding, crowd management, safety, and security strategies.

How much does LEGION cost?

A practitioner license of LEGION costs $14,039. Prices vary per region. While there are various types of licensing available, a common choice is the 12-month practitioner license offered through Virtuosity, Bentley’s eCommerce store. When you purchase through Virtuosity you get a Virtuoso Subscription. This means you get the software and “Keys” (tokens) to redeem for customizable training, mentoring, and consulting services.

System Requirements

Processor

Intel i5, i7, or Xeon processor of at least 3GHz

Operating System

Windows 7, 8 or 10, 32-bit or 64-bit

Memory

At least 8 GB of RAM for 32-bit edition and 16GB for the 64-bit edition

Hard Disk

100 GB of spare disk space on a fast (7,200 rpm or above) hard drive (to store several large results files)

Video Graphics Card

Dedicated graphics card with at least 1 GB memory and full OpenGL support

Microsoft Excel

Microsoft Excel 2007 or later to enable data file input. LEGION supports all Excel file formats, including ‘xlsx’ and ‘xlsm’

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Featured Trainings

Pedestrian modeling and simulation software

Build and simulate models for any type of venue

Better predict and improve pedestrian flow and safety

Collaborate faster and more easily

Model without restrictions