AI agent that identifies high-risk road locations by correlating crash data, road
conditions, and traffic behavior-enabling data-driven safety interventions.
Manual analysis takes years. Root causes remain
unknown. Interventions come too late.
Crash data, traffic records, and road conditions live in separate systems. Manual analysis is slow and incomplete.
Blackspots identified only after 3-5+ years of accidents. Interventions come too late, after repeated incidents.
Traditional lists show where accidents happen, not why. Without understanding causes, interventions fail.
RoadVision AI correlates data to identify blackspots faster and explain root causes.
Watch the AI pipeline process your safety data autonomously.
Junctions and crossing points
Geometric transition zones
High-speed road sections
School zones and crossings
Concentration and severity trends
Unsafe maneuvers and near-misses
Signage, markings, lighting issues
Visibility and design deficiencies
Pavement and roadside hazards
Junctions and crossing points
Geometric transition zones
High-speed road sections
School zones and crossings
Concentration and severity trends
Unsafe maneuvers and near-misses
Signage, markings, lighting issues
Visibility and design deficiencies
Pavement and roadside hazards
High-risk locations by severity and accident patterns
Network-wide visualization of blackspot hotspots
Why each location is high-risk with evidence
High / Medium / Emerging risk levels
Ranked by impact potential and cost-effectiveness
Monitor safety improvements post-intervention
High-risk locations by severity and accident patterns
Network-wide visualization of blackspot hotspots
Why each location is high-risk with evidence
High / Medium / Emerging risk levels
Ranked by impact potential and cost-effectiveness
Monitor safety improvements post-intervention
Your data is portable. Your system is future-proof.
Objective blackspot identification for targeted interventions.
Network-wide risk prioritization for optimized safety budgets.
Automated analysis at scale for faster, evidence-based audits.
Early risk detection for proactive safety compliance.
No. Combines crash records with road conditions, traffic behavior, and geometry for comprehensive analysis.
Yes. Traffic conflict analysis flags risk early, before accident accumulation.
Yes. Supports IRC audit frameworks and international best practices.
Yes. Before-and-after comparisons show safety improvements post-intervention.
Yes. Designed for highways, urban roads, and rural areas with context-specific analysis.
90% reliable with good crash, condition, and traffic data. Lower confidence flagged for review.
Yes. Standard formats (CSV, GeoJSON, API) supported. Data mapping configured during setup.