Traffic safety analytics • OTUS3D • VisualDB
Intersection safety analytics
Understand how pedestrians, cyclists and vehicles interact in complex intersections before unsafe patterns become crash statistics. Viscando’s 3D AI-based traffic sensing helps road-safety teams capture movement data, identify conflict points and turn intersection behaviour into practical safety insight.
For municipalities, road authorities and mobility consultants, intersection safety analytics adds an evidence layer beyond basic traffic counts. It shows how road users move, where interactions become risky and which design, signal or traffic-calming decisions need closer evaluation.
See intersection risk before crashes happen
Crash records are important, but they are delayed, sparse and often miss the everyday interactions that make an intersection feel unsafe. A junction may have few recorded crashes while still showing repeated close interactions between turning vehicles, cyclists, pedestrians or other vulnerable road users.
Intersection safety analytics helps teams observe those patterns directly. By analyzing movement paths, speed, direction and road-user interactions, traffic teams can see where risk is concentrated and where a design or signal change may need further study.
Safety claim gate: this supports proactive road-safety work, Vision Zero planning, safety audits and before-and-after studies. It supports better decisions rather than guaranteeing a specific safety outcome.
Analyze every road user in the same intersection view
Complex intersections are not only vehicle environments. Pedestrians cross at different speeds, cyclists use dedicated or mixed lanes, buses and cars turn across desire lines, and signal phases can create short moments where several movements compete for the same space.
Viscando’s Traffic solutions use 3D and AI-based sensing to analyze pedestrians, cyclists and motor vehicles in the same environment. The system can register road-user position, direction, speed and movement patterns, giving traffic engineers a clearer view of how different users interact in one intersection.
- Signalized junctions with mixed vehicle, cyclist and pedestrian flows.
- Crossings and school-route environments.
- Cycle-lane and turning-movement conflicts.
- Temporary traffic changes during construction or road works.
- Intersections selected for Vision Zero or safe-system review.
- Before-and-after studies after design, signal or traffic-calming changes.
For broader traffic context, see Viscando’s Traffic offer and 3D AI sensing technology.
From traffic conflict analysis to practical safety actions
Traffic conflict analysis looks beyond how many users pass through a location. It studies how they move in relation to each other: where paths cross, where speeds change, where yielding behaviour occurs and where repeated close interactions may indicate a safety problem.
- Define the site and safety question. Identify the intersection, road-user groups, movements and decisions that need evidence.
- Collect objective movement data. Use 3D AI-based sensing to observe pedestrians, cyclists and vehicles during the selected measurement period.
- Analyze movement and interaction patterns. Review trajectories, speeds, directions, turning movements and conflict-point observations.
- Review findings in dashboards. Use VisualDB and reporting outputs to make patterns easier to share with stakeholders.
- Prioritize possible actions. Use the evidence to discuss design changes, signal timing, traffic calming, crossing improvements or further investigation.
- Compare before and after. Repeat measurement after an intervention to understand how movements and interactions changed.
The purpose is not to replace engineering expertise. It is to give engineers, planners and decision-makers better evidence when they need to decide which safety problems to prioritize.
What data supports intersection safety decisions?
The exact outputs depend on the site, setup and analysis scope. For intersection safety work, relevant data points can include:
| Data point | Planning relevance |
|---|---|
| Road-user class | Separates pedestrians, cyclists and motor vehicles for multimodal review. |
| Movement paths | Shows how users move through the intersection, not only how many pass. |
| Position, direction and speed | Adds context for behaviour, signal timing and turning movements. |
| Interaction and conflict-point observations | Highlights where close interactions may need further engineering review. |
| Before-and-after comparisons | Supports evaluation after design, signal or traffic-calming changes. |
| VisualDB dashboards and exports | Helps teams share findings and discuss priorities with stakeholders. |
Read more about dashboard and reporting context on Data visualization.
Built for municipalities, road authorities and mobility consultants
Intersection safety analytics is most valuable when several stakeholders need to agree on what is happening in a specific location. Municipal teams may need evidence for a Vision Zero priority list. Road authorities may need to evaluate a junction, corridor or temporary traffic setup. Consultants may need objective data for a safety audit, public-space redesign or before-and-after study.
Vision Zero and safe-system planning
Identify recurring interaction patterns that may deserve deeper engineering review before severe crashes accumulate.
Vulnerable road-user analysis
Study how pedestrians and cyclists interact with vehicles at crossings, cycle lanes, turns and mixed-mode junctions.
Before-and-after safety studies
Compare movement and interaction data before and after a redesign, signal adjustment, traffic-calming measure or temporary traffic change.
Stakeholder reporting
Use dashboards and visual outputs to communicate findings to planners, elected officials, consultants, internal teams and external partners.
Privacy-aware sensing for public environments
Public-road analytics must balance useful safety evidence with responsible data handling. Viscando’s source material describes a privacy-aware approach where images are transformed into numerical and graph-based data rather than stored as images.
Proof and related context
- Traffic analysis: Viscando supports traffic counting, behaviour and interaction analysis, accident-risk identification and before-and-after analysis for public traffic environments.
- OTUS3D and 3D AI sensing: Viscando’s sensing approach captures position, speed, direction and movement patterns for multiple road-user types.
- VisualDB: Movement data can be reviewed and shared through dashboards and reports for stakeholder communication.
- Public-sector relevance: Viscando’s saved source material references traffic and mobility projects connected to Stockholm, Gothenburg/New Hisingsbron, Kristinehamn and other public-sector contexts.
Why Viscando for intersection safety analytics?
Viscando helps traffic teams move from counting vehicles to understanding interactions. That difference matters when the question is not only “how many road users passed?” but “where do road users create risk, and what evidence can help us act?”
With 3D AI sensing, multimodal road-user analysis and VisualDB reporting, Viscando can support the practical work of observing intersection behaviour, communicating findings and planning next steps.
Discuss your intersection safety analytics project with Viscando
Frequently asked questions
Intersection safety analytics is the use of movement and interaction data to understand where and how road users create risk in an intersection. Instead of relying only on crash history or manual observation, traffic teams can analyze paths, speeds, directions, conflict points and recurring behaviour patterns.
Traffic counting answers how many pedestrians, cyclists or vehicles pass through a location. Traffic conflict analysis looks at how those users interact. It examines movements, crossing paths, speed changes and risky patterns that may help explain where a safety issue is developing.
Near-miss and close-interaction patterns can provide useful safety signals before crash statistics are large enough to show a trend. They should be interpreted carefully, with clear methodology and site context, but they can help teams identify where further investigation or intervention may be needed.
Viscando’s Traffic source material describes analysis for pedestrians, cyclists and motor vehicles. The exact road-user classes, outputs and measurement period should be defined for each project, depending on the intersection, safety question and available setup.
A before-and-after study compares movement and interaction patterns before and after an intervention. This can help a team understand whether a redesign, signal change or traffic-calming measure changed the way people move through the intersection. It informs Vision Zero work without promising a guaranteed safety outcome.
Viscando’s source material states that images are transformed into numerical and graph-based data rather than stored as images. Final privacy, legal and procurement wording should be confirmed for each project, especially when the page is prepared for publication or public-sector tender material.
A municipality should define the location, safety question, road-user groups, preferred measurement period, known concerns, planned interventions and reporting needs. It should also clarify stakeholder expectations, privacy requirements and how the results will be used in engineering or planning decisions.
