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PTV Model2Go

Model. Set. Go.

Get a transport model of your city in just a week.

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PTV Model2Go Mott MacDonald PTV Model2Go Mott MacDonald

The fastest way to a new transport model of your city 

PTV Model2Go is a game changer in city and transportation planning: It uses a new technology that automates important parts of the model-building process and delivers a basic transport model of any city or metropolitan area in the world in just one week. Additionally, any transport model, can be delivered with travel demand data powered by TomTom.

Developing a transport model manually takes months and requires lots of resources and knowhow. PTV Model2Go drastically reduces the time, effort and cost of model-building, making model-based decision-making viable even for small projects.

Get your Model2Go now

PTV Model2Go variants

PTV Model2Go Supply

PTV Model2Go Supply represents the network supply of different modes of transport. That includes the road network and associated parameters, such as route types, speeds, and capacities. The automated model also contains the public transport network, timetables, points of interest and structural data. Traffic zones can be generated as well. PTV Model2Go Supply is ready for immediate use after delivery for analysis and visualization.

Discover PTV Model2Go Supply examples

PTV Model2Go Demand

The new cloud-based process combines smart automation technology with details about the origin/destination demand for your desired area. The travel demand matrices are powered by TomTom's trustworthy, scalable and reliable traffic data, covering, depending on the geographical area, 10% to 30% of the total private transport road traffic, reducing the effort to collect data empirically. The OD data, which is anonymized and compliant with data privacy regulations such as GDPR, is yet precise to the point, making it applicable to your desired matrix – resulting in even more accurate results.

Discover PTV Model2Go Demand examples

PTV Model2Go TripGenAI

PTV Model2Go TripGenAI automates the first of the four steps of demand modeling: trip generation. Create transport models faster, more consistently, and more cost-effectively than ever before. It combines high-quality demographic and spatial data with real mobility behavior to deliver a ready-to-use foundation for evidence-based transport planning. Population data is represented on a 100 m grid and categorized into specific population groups – for example, pupils, students, employed and non-employed persons, and retirees, each differentiated by car availability.

Discover PTV Model2Go TripGenAI

Live presentation of PTV Model2Go Demand

Learn in the video everything about PTV Model2Go evolution, as well as in-depth information on the data sources and data quality of TomTom's traffic OD data, the possibility to specify required OD data, the use cases served by Model2Go Demand as well all live Q&A.

AI-based Employee Estimation for Transport Models

Understanding where people work within a region is a critical foundation for developing transport models and effective transportation planning and decision-making. Follow Modal Automation Specialist Ahmad Chaudhry when he reveals a new AI tool that provides a faster, more scalable, and accurate approach to estimating employee data for transport models.

AI-produced trip generation

PTV Model2Go TripGenAI uses AI-enhanced population and employment data, combined with national mobility surveys such as Mobilität in Deutschland 2023, to calculate produced and attracted trips for each activity and zone. This enables planners to reflect how different lifestyles and access levels influence travel behavior. The result is a transparent, reproducible demand base – ready for accessibility analyses or as the starting point for full macroscopic models in PTV Visum. The first release will cover Germany, with more countries to follow in 2026.

PTV Model2Go Supply: Model examples & use cases

Public Transport Accessibility Analysis

A comprehensive public transportation system supports a sustainable, livable city where more people use transit as a preferred transportation choice. Concurrently, as public transport should be accepted and used by every citizen, it should be inclusive and accessible to all. To make public transportation the preferred choice of more people, Model2Go empowers you to run PT accessibility studies. In accessibility studies you can test a diverse series of improvements to the public transit network system and their ability to improve the potential for transit travel in the region.


Supply data coverage:

  • spatial data on population & land use​​
  • information on lines and line routes of all PT operators ​​
  • detailed current timetable of operating days​​​

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Traffic Impact Analysis

Assess the existing roadway infrastructure and its ability to move traffic with the ready-to-use Model2Go. The model provides a powerful foundation to perform traffic impact (TIA) and level of service analysis (LOS) based on information on trip generation, distribution, assignment, and volumes.

Supply data coverage:

  • Free flow speeds
  • Number of lanes for all links
  • Junction geometries & signal timing estimation

Transport Master Plan

Take an integrated approach in planning and developing transportation systems and land use, supporting you in the creation of an efficient, sustainable, and vibrant city that maximizes the effectiveness of its investment in transportation infrastructure. Model2Go lays the ground for a model to help with strategizing your Transport Master Plan aiming for people and goods to move efficiently throughout the city and to provide reasonable access with a variety of modes for people across demographic, geographic, socio-economic and mobility spectrums.

Supply data coverage:

  • Public transport supply data
  • Zone system
  • Land use data (e.g. from OpenStreetMap)

Transport Logistics Masterplan

Cities are logistics and distribution centers. It is essential to the economy that commercial transportation is able to move efficiently. Safe, efficient and effective movement of goods and services is essential to supporting and fostering economic vitality and competitive advantage. With Model2G, you establish a sound goods movement network that connects well with other transportation modes and facilities, while achieving effectiveness in terms of time, energy consumption, and infrastructure needs.  

Supply data coverage:

  • Truck speeds

On-Demand Service Potential Studies

Private cars and on-demand mobility services, public transit and micromobility – consumers can choose between a variety of options. Model2Go serves as a foundation to enable you to analyze your city's transportation system, your city's residents diverse mobility needs and the potential and impact of on-demand services.

Supply data coverage:

  • Spatial data on population & land use

Strategic Public Transport Supply Plan

Public transport is the most sustainable mode of transport mobilizing the masses of people. The ready-to-use Model2Go model includes the city's PT supply plan enabling you to evaluate network and timetable variants and operating concepts. By combining strategic transport demand models with operational assessment tools, your decisions will always be well-informed.

Supply data coverage:

  • spatial data on population & land use
  • information on lines and line routes of all PT operators

PTV Model2Go Demand: Model examples

Traffic Analysis

  • Berlin: Road closure and the effect on traffic heavy street

The utilization of M2G demand enables the testing of various scenarios, such as blocking a significant road segment, to observe the resulting traffic rerouting. The visual representation of red bars signifies a decrease in volume, while blue bars indicate an increase. These rapid tests empower transport planners to make critical decisions pertaining to traffic policies etc.

  • Capetown: Origin trips

Trip density is a metric used in transport modeling to assess the travel demand within specific zones. It can assist in determining the need for transportation infrastructure and designing the network layout. It can also help identify areas with high travel activity and those with relatively lower demand.

  • Manila: Generated trips per km2 per work day

​​​​​​​The flow bundle analysis of Manila's M2G demand provides valuable insights into the travel patterns along Quezon Avenue by examining the origin and destination of total trips. The analysis presents this information through visual representations, where green bars represent the origins of trips, and red bars depict the destinations.

Demand data coverage

  • 10-30% of travel demand of the total private transport road traffic

Network Analysis

  • Atlanta: Car volumes per day

OD demand assigned to the network results in traffic volumes on links. After extrapolating the demand to actual demand, observed volumes can be compared with the designed capacity of the links, which can allow analysts to identify potential bottlenecks, congestion hotspots, or areas where the network may be operating beyond its intended capacity.

  • Amsterdam: Desire lines of the 500 most important ODs

Desire lines play a crucial role in analyzing the key zones that generate and attract trips. Incorporating desire lines into transportation planning and analysis enables a more accurate representation of real-world movement patterns and supports informed decision-making in optimizing transportation networks.

  • Paris: Traffic volume on cycling routes

Understanding the process of assigning cars to the road network provides valuable insights. When combined with data from the bicycle network, it can help identify bicycle links that have car traffic along the same route.

Demand data coverage

  • 10-30% of travel demand of the total private transport road traffic

PTV Model2Go TripGenAI: Model examples

Accessibility Studies

  • Karlsruhe: Population in buildings

Each building contains detailed population data, showing how many people live there and which demographic groups they belong to. This granular information enables highly accurate trip generation and mobility analyses.

  • Karlsruhe: Workplaces per building

PTV Model2Go TripGenAI visualizes the number of workplaces per building, revealing where employment is concentrated across the city. This detailed workplace data enables precise modeling of commuting patterns and travel demand between residential and employment areas.

TipGenAI data coverage

  • Population groups: employed, non-employed, students, retired
  • Resolution: Population groups are represented on a 100 m grid 

Transport Demand Modelling

Your foundation for

  • Infrastructure evaluation
  • Public transport and cycline planning
  • Demogrpahic scenarios
  • New mobility concepts
  • Pricing & policy measures

Your benefits

Head start in traffic planning

Shorten the time to model from months to days and focus on what matters.

Robust and reliable

Avoid human error with automatic data collection and integration.

Data driven decisions

Improve decision making with hard facts from models.

Accurate results

OD matrices are free from being bound to zones.

Using PTV Model2Go: Details

Data sources

Model2Go can include:

  • Road network (available worldwide from Here and TomTom)
  • Junction details estimated for HERE maps only
  • Public transport network including stops, lines, and timetables (based on the standardized GTFS format)
  • Bike network with elevation (based on OpenStreetMap)
  • Traffic analysis zones and connectors with demographics and travel demand estimates (generated by PTV based on OpenStreetMap data and data science algorithms)
  • OD matrices powered by TomTom GPS Data. The delivered data covers 10% to 30% of the total private transport on roads.
  • Mix and match your own data with the data provided in the PTV Model2Go model

AI-based Employee Estimation for Transport Models

Understanding where people work within a region is a critical foundation for developing transport models and effective transportation planning and decision-making. Follow Modal Automation Specialist Ahmad Chaudhry when he reveals the new AI tool that provides a faster, more scalable, and accurate approach to estimating employee data for transport models.

What you can do out-of-the-box with Model2Go Supply

  • Accessibility analyses (e. g. measure potential for travel by mode and for different purposes)
  • Public transport operational planning
  • Infrastructure planning

What you can do out-of-the-box with PTV Model2Go Demand

  • Travel demand forecasting
  • Transportation planning
  • Demand forecasting for new modes
  • Base model for real-time traffic management
  • Construction site planning

Traffic studies of:

  • changed traffic routing
  • changed speed limits
  • new roads
  • capacity improvements
  • detours caused by roadblocks

Traffic analyses of:

  • traffic composition on specific roads
  • affected origins & destinations of interventions

What you can do out-of-the-box with PTV Model2Go TripGenAI

  • Accessibility analysis
  • Strategic transport demand modeling
  • Scenario comparison
  • Public transport planning
  • Sustainability studies
  • Urban and regional planning
  • Mobility behavior analysis
  • Data validation and calibration
  • Infrastructure evaluation
  • Smart city applications

Accessibility analysis for:

  • SUMP (Sustainable Urban Mobility Plans)
  • Location analysis
  • Public transport

Answer questions such as:

  • Which areas are underserved (PuT)
  • How does accessibility differ for different population groups?
  • How can accessibility be improved with sustainable modes of transport?

This is how you get your PTV Model2Go

PTV Model2Go delivers traffic models as PTV Visum files. If you additionally acquire PTV Model2Go Demand, your PTV Visum file will also include the OD matrices for your region. The model is ready to use for analysis and visualization for several basic use cases, and customizable with additional data and modeling for more complex use cases. Edit, improve, analyze your Model2Go model using PTV Visum, the world’s leading transport planning software.

Modeling Sessions

HOW-TO
PTV Model2Go Supply: The Automated Process of Transport Model Generation

In this video you will learn the automation process for the smart creation of a tranportmodel.

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HOW-TO
PTV Model2Go Supply: The Use Cases of Ready-to-Use Transport Models

In this video you will learn what you can do with the ready-to-use transportation models.

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HOW-TO
PTV Model2Go Supply: Specifying Travel Demand Data for the Transport Model

Get to know the data source and data quality of the travel demand data powered by TomTom.

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HOW-TO
PTV Model2Go Supply: The Use Cases of Transport Demand Models

In this video we talk about use cases that the ready-to-use transport models can serve in transportation planning and traffic studies.

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HOW-TO
PTV Model2Go Supply: Public Transport Service Operations Analysis

We are looking at the public transport supply side within transportation modeling and are performing graphical analyses of PT service operations.

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Model2Go versions

 

One-time model

 

Model subscription

 

 

Bundle subscription

(Model + Software)

Scope of delivery and term- One-time model delivery

- Yearly model delivery

- Min. 3 years subscription term

- Yearly model update

- Min. 3 years subscription term

PTV Visum subscription

Regional Population

Price varies depending on population covered

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Junction Detail

Price varies depending on level of junction detail

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Get in touch with our team to get more information on PTV Model2Go

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Why trust Model2Go?

Secure Data Integrity

Robust protocols ensure corrupted files are promptly replaced, maintaining accuracy and reliability.

Controlled Data Management

Supplier sources like HERE, TomTom, OSM, and GTFS are processed through secure ingestion pipelines for trusted inputs.

Centralized and Resilient

The Mobility Data Lake safeguards external and customer data, with ongoing enhancements to prevent malicious inputs.

Our compliance and cybersecurity standards