Skip to content

RoadTrafficModel_step4

RoiArthurB edited this page Jul 30, 2026 · 5 revisions

4. Weight for Road Network

The present model will introduce how to design a road system, or graph, based on the road GIS data and provide each edge a weight representing the destruction level of the road.

Formulation

  • Add a destruction_coeff variable to the road agent. The value of this variable is higher or equal to 1 or lower or equal to 2. At initialization, the value of this variable is randomly defined between 1 and 2.
  • In the road network graph, more a road is worn out (destruction_coeff high), more a people agent takes time to go all over it. Then the value of the arc representing the road in the graph is equal to "length of the road * destruction_coeff".
  • The color of the road depends on the destruction_coeff. If "destruction_coeff = 1", the road is green, if "destruction_coeff = 2", the road is red.

Model Definition

road agent

We add a destruction_coeff variable which initial value is randomly defined between 1 and 2 and which have a max of 2. The color of the agent will depend on this variable. In order to simplify the GAML code, we define a new variable colorValue that represents the value of red color and that will be defined between 0 and 255.

species road  {
    float destruction_coeff <- rnd(1.0,2.0) max: 2.0;
    int colorValue <- int(255*(destruction_coeff - 1)) update: int(255*(destruction_coeff - 1));
    rgb color <- rgb(min([255, colorValue]),max ([0, 255 - colorValue]),0)  update: rgb(min([255, colorValue]),max ([0, 255 - colorValue]),0) ;
    ...
}

weighted road network

In GAMA, adding a weight for a graph is very simple, we use the with_weights operator with the graph for left-operand and a weight map for the right-operand. The weight map contains the weight of each edge: [edge1::weight1, edge2:: weight2,...]. In this model, the weight will be equal to the length of the road (perimeter of the polyline) its destruction coefficient.

    init {
        ...
        create road from: shape_file_roads ;
        map<road,float> weights_map <- road as_map (each:: (each.destruction_coeff * each.shape.perimeter));
        the_graph <- as_edge_graph(road) with_weights weights_map;
        ...
    }

Complete Model

https://github.com/gama-platform/gama/blob/main/gama.library/tutorials/Road%20Traffic/models/Model%2004.gaml
  1. What's new (Changelog)
  2. Migration Guide (2025-06 → 2026-06)
  1. Installation and Launching
    1. Installation
    2. Launching GAMA
    3. Updating GAMA
    4. Installing Plugins
  2. Workspace, Projects and Models
    1. Navigating in the Workspace
    2. Changing Workspace
    3. Importing Models
  3. Editing Models
    1. GAML Editor (Generalities)
    2. GAML Editor Tools
    3. Validation of Models
  4. Running Experiments
    1. Launching Experiments
    2. Experiments User interface
    3. Controls of experiments
    4. Parameters view
    5. Inspectors and monitors
    6. Displays
    7. Batch Specific UI
    8. Errors View
  5. Running Headless
    1. Getting Started
    2. Headless Legacy
    3. Headless Batch
  6. Exporting Projects As Simulation Launchers
  7. Preferences
  8. Troubleshooting
  1. Introduction
    1. Start with GAML
    2. Organization of a Model
    3. Basic programming concepts in GAML
  2. Manipulate basic Species
  3. Global Species
    1. Regular Species
    2. Defining Actions and Behaviors
    3. Interaction between Agents
    4. Attaching Skills
    5. Inheritance
  4. Defining Advanced Species
    1. Grid Species
    2. Graph Species
    3. Mirror Species
    4. Multi-Level Architecture
  5. Defining GUI Experiment
    1. Defining Parameters
    2. Defining Displays Generalities
    3. Defining 3D Displays
    4. Defining Charts
    5. Defining Monitors and Inspectors
    6. Defining Export files
    7. Defining User Interaction
  6. Classes and Objects
    1. Class Definition and Instantiation
    2. Attributes and Actions
    3. Inheritance
    4. Virtual Classes
    5. Advanced Features
  7. Exploring Models
    1. Run Several Simulations
    2. Batch Experiments
    3. Exploration Methods
  8. Optimizing Models
    1. Runtime Concepts
    2. Analyzing code performance
    3. Optimizing Models
  9. Multi-Paradigm Modeling
    1. Control Architecture
    2. Defining Differential Equations
  1. Manipulate OSM Data
  2. Cleaning OSM Data
  3. Diffusion
  4. Using Database
  5. Using Dataframes
  6. Using FIPA ACL
  7. Using BDI with BEN
  8. Using Driving Skill
  9. Manipulate dates
  10. Manipulate lights
  11. Using comodel
  12. Save and restore Simulations
  13. Using network
  14. Writing Unit Tests
  15. Ensure model's reproducibility
  16. Going further with extensions
    1. Calling R
    2. Using Graphical Editor
    3. Using Git from GAMA
  1. Built-in Species
  2. Built-in Skills
  3. Built-in Architecture
  4. Statements
  5. Data Type
  6. File Type
  7. Stats Extension
  8. Sound Extension
  9. BDI Extension
  10. FIPA Skill
  11. Expressions
    1. Literals
    2. Units and Constants
    3. Pseudo Variables
    4. Variables And Attributes
    5. Operators (Definition)
    6. Operators [A-A]
    7. Operators [B-C]
    8. Operators [D-H]
    9. Operators [I-M]
    10. Operators [N-R]
    11. Operators [S-Z]
  12. Exhaustive list of GAMA Keywords
  1. Installing the development version
    1. Install GAMA source code with Eclipse plugin
  2. Developing Extensions
    1. Developing Plugins
    2. Developing Skills
    3. Developing Statements
    4. Developing Operators
    5. Developing Types
    6. Developing Species
    7. Developing Control Architectures
    8. Index of annotations
  3. Introduction to GAMA Java API
    1. Architecture of GAMA
    2. IScope
  4. Using GAMA flags
  5. Export plugin : Technical Documentation
  6. Creating a release of GAMA
  7. Documentation generation

  1. Predator Prey
  2. Road Traffic
  3. Incremental Model
  4. Luneray's flu
  5. BDI Agents
  6. Forager RL
  7. SIR Analysis
  8. 3D Model

  1. Team
  2. Projects using GAMA
  3. Scientific References
  4. Training Sessions

Resources

  1. Videos
  2. Conferences
  3. Pedagogical materials

Clone this wiki locally