PTV Model2Go
The fastest way to create a transport model
PTV Model2Go automates transport model creation and delivers ready-to-use mobility data, network models and demand data for cities and regions worldwide.
Key Benefits
- Reduce model creation time from months to days
- Start analyses immediately with ready-to-use data
- Scalable from small studies to national projects
- Built on proven transport planning methodologies
What is PTV Model2Go?
Transport planning models are essential for evaluating infrastructure projects, public transport improvements, accessibility, land-use developments and mobility policies.
Traditionally, building these models requires extensive data collection, network coding and data preparation, often taking several months.
PTV Model2Go automates large parts of this process. Using digital maps, public transport data, demographic information and mobility datasets, Model2Go generates ready-to-use transport planning data for virtually any location.
The result is a faster, more consistent and more cost-effective foundation for transport planning projects.
PTV Model2Go Product Family
PTV Model2Go Products
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.
Configure your specific supply model by selecting and combining different modules: Model2Go Supply Modules
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.
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 covers Germany, with more countries to follow in 2026.
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.
Use Cases
Evaluate access to jobs, education and services by different transport modes.
Assess routes, timetables and service concepts.
Estimate the effects of infrastructure and policy changes.
Support long-term mobility and land-use strategies.
Understand travel patterns and future mobility needs.
Evaluate freight and goods movement networks.
Why PTV Model2Go makes the difference
| Traditional Approach | PTV Model2Go |
| Months of data preparation ❌ | Ready-to-use model ✅ |
| Multiple data suppliers ❌ | Single source ✅ |
| Manul network creation ❌ | AI automated generation ✅ |
| High setup effort ❌ | Head start for your project ✅ |
Your benefits
Shorten the time to model from months to days and focus on what matters.
Avoid human error with automatic data collection and integration.
Improve decision making with hard facts from models.
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.
Get in touch with our team to get more information on PTV Model2Go
Why trust Model2Go?
PTV Planung Transport Verkehr GmbH operate an ISO/IEC 27001-certified ISMS and apply continuous monitoring and incident response processes to manage and mitigate information security risks.
Supplier sources like HERE, TomTom, OSM, and GTFS are processed through secure ingestion pipelines for trusted inputs.
The Mobility Data Lake safeguards external and customer data, with ongoing enhancements to prevent malicious inputs.