Simulation of Urban MObility (SUMO) vs TransModeler

Struggling to choose between Simulation of Urban MObility (SUMO) and TransModeler? Both products offer unique advantages, making it a tough decision.

Simulation of Urban MObility (SUMO) is a Travel & Location solution with tags like transportation, traffic-modeling, microsimulation, open-source.

It boasts features such as Microscopic multi-modal traffic simulation, Large road network handling, Intermodal simulation (pedestrians, public transport, etc), Wide range of traffic management options, Model calibration and validation tools, Graphical user interface for network editing, API for scripting and integration, Active open source community and pros including Free and open source, Highly portable and runs on Linux, Windows and Mac, Very detailed and customizable simulation, Large feature set out of the box, Extendable via API and custom modules, Integrates well with other tools via TraCI API, Thorough documentation and active user community.

On the other hand, TransModeler is a Travel & Location product tagged with transportation, modeling, simulation, multimodal, highways, transit, pedestrians, bicycles.

Its standout features include Multimodal transportation network modeling, Traffic assignment and simulation, Public transit modeling and analysis, Pedestrian and bicycle network modeling, Microscopic, mesoscopic and macroscopic modeling, Demand modeling and forecasting, Environmental impact analysis, and it shines with pros like Powerful and flexible modeling capabilities, Integrated modules for different analyses, Customizable user interface, Industry standard software with wide adoption.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Simulation of Urban MObility (SUMO)

Simulation of Urban MObility (SUMO)

SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Categories:
transportation traffic-modeling microsimulation open-source

Simulation of Urban MObility (SUMO) Features

  1. Microscopic multi-modal traffic simulation
  2. Large road network handling
  3. Intermodal simulation (pedestrians, public transport, etc)
  4. Wide range of traffic management options
  5. Model calibration and validation tools
  6. Graphical user interface for network editing
  7. API for scripting and integration
  8. Active open source community

Pricing

  • Open Source

Pros

Free and open source

Highly portable and runs on Linux, Windows and Mac

Very detailed and customizable simulation

Large feature set out of the box

Extendable via API and custom modules

Integrates well with other tools via TraCI API

Thorough documentation and active user community

Cons

Steep learning curve

No graphical user interface for simulation

Limited visualization options without add-ons

Performance limits for very large networks

Scripting requires Python knowledge


TransModeler

TransModeler

TransModeler is transportation modeling and simulation software used by transportation planners and engineers. It allows for the modeling and analysis of multimodal transportation networks including highways, transit, pedestrians, and bicycles.

Categories:
transportation modeling simulation multimodal highways transit pedestrians bicycles

TransModeler Features

  1. Multimodal transportation network modeling
  2. Traffic assignment and simulation
  3. Public transit modeling and analysis
  4. Pedestrian and bicycle network modeling
  5. Microscopic, mesoscopic and macroscopic modeling
  6. Demand modeling and forecasting
  7. Environmental impact analysis

Pricing

  • Subscription-Based

Pros

Powerful and flexible modeling capabilities

Integrated modules for different analyses

Customizable user interface

Industry standard software with wide adoption

Cons

Steep learning curve

Requires large amounts of data

Limited capabilities for pedestrian and bicycle modeling

Can be computationally intensive for large networks