Traffic counting is the starting point for better mobility decisions. Viscando’s OTUS3D sensor counts pedestrians, cyclists and motor vehicles with one 3D AI-based system, then helps you understand movement patterns, speeds, directions, interactions and trends through clear visual data.
For traffic planners, municipalities, road authorities and consultants, the question is rarely only “how many vehicles passed this point?” Modern traffic data needs to show how different road users move, where patterns change, and what happens before and after infrastructure decisions.
Count every road user with one 3D AI sensor
A traffic counting sensor measures road users at a selected location and turns those observations into traffic data. Viscando’s OTUS3D is designed for multimodal traffic counting, which means one system can measure pedestrians, cyclists and motor vehicles simultaneously.
That multimodal view matters in real streets and intersections. Pedestrians, cyclists, cars, buses, freight vehicles and other road users share space. Counting only one mode can miss the wider mobility picture, especially when a project involves active mobility, road safety, public transport access, cycling infrastructure, or changes in street design.
With Viscando, traffic counting can support both temporary studies and recurring measurement needs. The output is not limited to a simple count. The same data foundation can support analysis of movement, speed, direction, behaviour, interaction patterns and before/after changes.
From traffic counts to planning insight
Traffic counts are useful, but counts alone do not always explain what planners need to know. A location can have the same total volume while road-user behaviour, modal share, speed patterns, turning movements or conflict points change significantly.
Viscando helps traffic teams move from raw volume data to planning insight. The system is built to support questions such as:
- How many pedestrians, cyclists and motor vehicles use this location?
- How do volumes change by time of day, weekday, season or intervention?
- Which directions and movement paths are most common?
- How do road users interact in a complex intersection or shared space?
- What changed before and after a new design, regulation or infrastructure project?
- How can findings be visualized and shared with stakeholders?
This makes traffic counting more useful for decisions about street design, cycling and walking infrastructure, road-safety work, traffic calming, public-space changes and long-term mobility planning.
What traffic data can you collect?
A traffic counting system should make data usable for the decision at hand. Depending on the measurement setup and project scope, Viscando can support several categories of traffic insight.
Counts and classifications
Measure pedestrians, cyclists and motor vehicles at the same location. This gives traffic teams a clearer picture of mixed road-user environments than single-mode counting alone.
Direction and movement paths
Understand where road users come from, where they go, and how movement patterns differ across a site. This is useful for intersections, crossings, cycling corridors, bridges and streets with several movement choices.
Speed and flow patterns
Analyze how traffic moves through the measured area. Speed and flow patterns can add context to volume data and help teams understand how the location functions over time.
Behaviour and interaction insight
Traffic planning often needs more than counts. Viscando’s traffic analytics can also support analysis of behaviour, interactions and safety-related patterns, using source-backed Viscando case and technology context without promising guaranteed safety outcomes.
Visualization and reporting
Traffic data becomes more useful when it can be explored and shared. Viscando’s VisualDB helps turn traffic data into dashboards, visualizations, exports, trend analysis and stakeholder-ready reporting.
Privacy-aware traffic sensing
Traffic data collection happens in public environments, so privacy must be handled carefully. Viscando positions OTUS3D as a privacy-conscious system where images are transformed into numbers and graphs rather than used as stored surveillance footage.
For public-sector buyers, this matters because traffic counting should create useful planning data without turning the project into a video-surveillance initiative. Final legal or GDPR wording should mirror Viscando’s approved website language and be confirmed before publication if stronger compliance statements are needed.
Proof from real traffic environments
Viscando’s traffic technology is supported by public traffic and mobility projects. Use these examples as source-backed proof points and link to the full case pages where relevant.
New Hisingen Bridge, Gothenburg
Viscando’s case material describes real-time traffic data collection at the New Hisingen Bridge in Gothenburg. The case is relevant because it shows multimodal traffic data in a complex public infrastructure environment.
Read more: New Hisingen Bridge, Gothenburg
Kristinehamn bicycle network measurement
The Kristinehamn case is relevant for active-mobility planning and before/after evaluation. It supports the message that traffic counting can help municipalities understand pedestrians, cyclists and motorized vehicles in planning contexts.
Read more: Expanding bicycle network in Kristinehamn
Road-user behaviour in a complex intersection
Traffic counting becomes more valuable when it connects volume data with behaviour and interaction insight. Viscando’s complex-intersection case supports the broader message that traffic analytics can go beyond simple counting.
Traffic counting sensor, traffic counter or traffic counting system?
Buyers use several terms for this category. A traffic counter may describe a simple device that counts vehicles or road users. A traffic counting sensor usually refers to the measurement hardware. A traffic counting system includes the sensor, data handling, dashboards, reporting and analysis workflow.
Viscando should be positioned as a traffic counting system for multimodal traffic data. OTUS3D provides the 3D AI sensing layer, while VisualDB helps teams interpret, visualize and share the data.
This distinction is important for procurement. If the project only needs a basic vehicle count, a simple counter may be enough. If the project needs pedestrians, cyclists, motor vehicles, directions, trends, movement patterns, behaviour context and stakeholder reporting, a richer multimodal system is more relevant.
How Viscando fits into your measurement project
Every traffic counting project should start with the decision the data needs to support. Before selecting a sensor or setup, define the location, road-user types, time period, outputs and reporting needs.
Useful planning questions include:
- Which road users need to be counted?
- Is the site a street, crossing, bridge, intersection, cycle route or public space?
- Do you need only volume, or also direction, speed, movement paths and trends?
- Will the data support a before/after study?
- Who needs to understand and use the findings?
- What privacy and procurement requirements must be addressed?
Viscando can help traffic teams design a measurement approach that fits the context rather than treating every location as the same counting problem.
Talk to Viscando about your traffic counting project
If you need traffic counts for pedestrians, cyclists and motor vehicles, Viscando can help you turn road-user movement into objective data and planning insight.
Use OTUS3D and VisualDB to support traffic counting, multimodal analysis, before/after evaluation and stakeholder reporting.
Contact Viscando to discuss your measurement context.
FAQ
What is a traffic counting sensor?
A traffic counting sensor is a device or system that measures road users at a selected location and turns those observations into traffic data. Viscando’s OTUS3D is a 3D AI-based traffic counting sensor for pedestrians, cyclists and motor vehicles.
Can one sensor count pedestrians, cyclists and vehicles?
Yes. Viscando’s source material states that one OTUS3D unit can measure pedestrians, cyclists and motor vehicles simultaneously. The exact setup for a specific location should be confirmed with Viscando during project planning.
What is the difference between traffic counting and traffic analysis?
Traffic counting measures how many road users pass or use a location. Traffic analysis interprets the data to understand patterns such as direction, speed, modal share, behaviour, interactions, trends and before/after changes.
How does Viscando handle privacy?
Viscando positions OTUS3D as privacy-conscious traffic sensing where images are transformed into numbers and graphs. Any detailed legal or GDPR wording should follow Viscando’s approved website copy and be confirmed before publication.
Can traffic counting data be used for before-and-after studies?
Yes. Traffic counting data can support before-and-after studies by comparing volumes, movement patterns, road-user types and trends before and after an infrastructure or street-design change.
How do I know which measurement setup I need?
Start with the decision you need to make. Define the location, road-user types, time period, data outputs, reporting needs and privacy requirements. Viscando can then help assess which measurement setup fits the project.
