Every journey should end safely but growing traffic volumes, complex junctions, and distracted driving make that promise harder to keep. City operators, first responders, and citizens all feel the consequences: injuries, long delays, and eroded confidence in the road network. Artificial Intelligence (AI) offers a practical way forward, turning rich, real-time data into earlier warnings, faster interventions, and evidence-based planning that prevents crashes before they happen.

How can AI prevent road accidents?

Effective prevention starts with visibility and prediction. AI systems analyse live and historical data to spot high-risk locations, behaviours, and time windows, helping authorities prioritise engineering fixes, targeted enforcement, and public information campaigns. Typical measures include risk-point prediction from past crashes and traffic patterns, smarter speed management, adaptive signage, and rapid hazard removal. Crucially, collaboration between road authorities and technology providers ensures that insights translate into timely actions on the street.

The benefits of AI in preventing and managing road accidents

AI strengthens road safety across the full lifecycle of an incident, pre-crash, during, and post-event:

• Proactive risk detection: Models flag hotspots and risky behaviours (e.g., excessive speed, harsh braking patterns) so teams can intervene before incidents escalate.
• Real-time alerts: Computer vision identifies stopped vehicles, debris, pedestrians on the carriageway, and wrong-way driving, triggering immediate responses that compress time-to-detect and time-to-respond.
• Smarter speed and flow management: Insights support dynamic limits, signal timing, and lane control that reduce shockwaves and secondary collisions.
• Coordinated response: Structured, time-stamped evidence (what/where/when) helps dispatch the right resources quickly and keeps users informed to avoid the scene.
• Evidence-based prevention: Post-event analytics reveal root causes and patterns, guiding engineering improvements, enforcement focus, and education campaigns.

MakeWise product focus: AID.VISION

AID.VISION is MakeWise’s AI solution for automatic incident detection on roads. It continuously monitors live video, detects events such as stopped vehicles, lane obstructions, pedestrians or animals on the roadway, wrong-way driving, and accidents, and sends real-time alerts to the operations centre. AID.VISION integrates with existing ITMS/ATMS, VMS/PSIM, and dispatch systems, enabling rapid verification, escalation, and coordinated response. Post-event dashboards highlight hotspots and trends, so operators can prevent repeat incidents.

Key capabilities

• Automatic road and lane detection with robust performance day/night and in adverse weather
• Real-time alerts and operator workflows with evidence snapshots and precise location context
• Straightforward integration with control rooms and field systems for end-to-end response

AI brings two superpowers to urban mobility: early insight and decisive action. By predicting risks, detecting hazards instantly, and streamlining incident response, cities can reduce crashes, shorten delays, and restore confidence in their networks. With AID.VISION, MakeWise helps authorities turn data into safer roads, today and over the long term.

Confirm all MakeWise’s solutions here and start your business digital transformation journey today. Contact us!