Published by Tomas Bui on
Traditional road safety investigations have a fundamental problem: they wait for crashes to happen before taking action. By the time enough collision data accumulates to justify intervention, lives have already been lost.
GoodVision's new AI Safety Suite addresses this gap by analyzing the conflicts that precede crashes, identifying dangerous intersections years before serious incidents occur.
The Proactive Approach to Traffic Safety
Traffic safety research has long recognized that crashes are just the tip of the iceberg. Studies show near-miss events outnumber actual collisions by ratios of 30:1 or higher, yet these conflicts rarely appear in official safety records.
The AI Safety Suite processes recorded video footage to detect and measure these conflict events automatically. Transportation professionals can now base safety decisions on hundreds of documented near-collisions rather than waiting for crash histories to develop.
This shift from reactive to proactive analysis directly supports Vision Zero initiatives, enabling agencies to prioritize interventions at high-risk locations before fatalities occur.
What the Analysis Reveals
The platform processes video footage from any source (permanent cameras, temporary studies, or archived recordings) and generates detailed safety reports showing:
- Every near-miss event with visual evidence: Timestamped video clips showing exactly how conflicts unfold, with trajectory lines and speed overlays
- Quantified risk metrics: Post-Encroachment Time (PET) measurements that rank near-misses by severity, with proven statistical links to future collision probability
- Precise conflict locations: GPS coordinates for every event, enabling engineers to pinpoint exactly where interventions are needed
- Road user classification: Automatic identification of vehicles, pedestrians, and cyclists involved in each near-miss
- Sortable, shareable data: Exportable reports that support funding requests and stakeholder communication
The system analyzes all road users simultaneously, capturing vehicle-to-vehicle near-misses, pedestrian crossing risks, and cyclist exposure in a single study.
From Hours of Footage to Actionable Insights
One of the most significant barriers to video-based safety analysis has been the time required. Manual review of intersection footage is labor-intensive and prone to missing critical events.
The AI Safety Suite processes footage at a fraction of traditional analysis time. What would take weeks of manual observation can be completed in hours, with comprehensive detection of every conflict event rather than the limited sampling possible through manual methods.
This efficiency allows transportation professionals to focus their expertise where it matters most: interpreting results, engaging stakeholders, and designing effective countermeasures, rather than spending days reviewing footage.
Supporting Vision Zero With Evidence-Based Decisions
Cities and agencies pursuing Vision Zero goals are applying near-collision analysis to:
Identify high-risk locations before crashes accumulate: Newer intersections or recently modified configurations may lack crash history but still present significant risks. Conflict analysis provides immediate evidence of safety concerns.
Evaluate countermeasure effectiveness: Compare conflict rates before and after signal timing changes, geometric improvements, or traffic calming measures to validate that interventions are working as intended.
Prioritize vulnerable road user safety: Document pedestrian and cyclist exposure at specific crossings, building the case for protected infrastructure or signal modifications.
Justify safety investments: Present stakeholders and funding bodies with objective video evidence showing exactly how and where conflicts occur, making abstract safety concerns tangible and compelling.
The approach works with existing camera infrastructure, making it practical to conduct safety studies across entire networks without requiring specialized equipment or permanent installations.
Ready to Analyze Your Intersections?
Every community faces unique safety challenges. The AI Safety Suite adapts to different contexts, from complex urban intersections to highway ramps, school zones, or multi-modal corridors.
If your agency is working toward Vision Zero goals or needs to understand safety risks at specific locations, we can demonstrate how the platform works with your actual footage and use cases.
Learn more about the technology: goodvisionlive.com/solutions/near-collision-detection
See what the analysis looks like: Download a sample report showing the detailed insights, visual evidence, and conflict metrics the platform generates.
Discuss your specific projects: Contact our team for a non-binding consultation. Share details about your intersection or safety concern, and we'll show you exactly what insights you can expect, including how the data supports your decision-making process and integrates with your existing safety workflows.
The tools for proactive safety analysis are here. Let's put them to work preventing crashes in your community.
Contact us to schedule a demonstration with your footage or discuss your safety analysis needs.