Aibrid AutoFlow
An aerial view of Kingston's bustling roads during morning rush hour.

Aibrid AutoFlow

Jamaica’s AI-Powered Smart Traffic Solution.

“Smarter Roads. Safer Cities.”

The Problem: Gridlock & Inefficiency

Kingston's roads face daily congestion, leading to lost time, wasted fuel, and frustrated commuters.

Congestion Heatmap
AI-generated visualization of traffic density. Click below to generate.
A visual representation of a traffic heat-map, showing areas of high congestion in red.

Sample High Congestion Zone

Cross Roads Area

Lost Productivity
Average additional commute time during peak hours.

+45 mins/day

Economic & Environmental Cost
Congestion impact by time of day.

The Solution: AutoFlow System

A centralized AI platform that sees the entire traffic network, predicts congestion, and acts in real-time.

The Brain of the Operation
AutoFlow integrates data from countless sources to make intelligent decisions.

  • Predictive Analysis

    AI algorithms forecast traffic flow and potential bottlenecks before they happen.

  • Live Data Processing

    Information from road sensors and cameras is analyzed every second.

  • Dynamic Control

    Traffic signals, message signs, and public transport are orchestrated for maximum efficiency.

A glowing digital map of Kingston, representing the AutoFlow system interface.

Explore AutoFlow Features

Smart Traffic Signal Control
AutoFlow dynamically adjusts traffic lights based on car volume and pedestrian movement. Click below to simulate.
Vehicle Detection & Counting
Using overhead camera POV, the AI counts vehicles, detects speeds, and analyzes traffic density.
An overhead camera view of a moderately busy intersection.

Click Analyze to see results

Bus Priority & VMS
Smart buses are prioritized at lights, and roadside digital signs update with live info.

ALL ROUTES CLEAR

DRIVE SAFELY

Results & Benefits

See the tangible improvements in traffic flow, safety, and economic efficiency with our live simulation.

Live Traffic Simulation

Simulation Control

Live Metrics

Mode:
Standard Cycle
Waiting Cars:0
Total Cars:0

30%

Congestion Reduction

Less time spent in traffic jams, leading to quicker commutes.

15%*

Enhanced Road Safety

Reduction in intersection-related incidents. (*Predicted)

+20%

Economic Efficiency

Improved travel times for commercial vehicles and public transport.

Pilot Program & Testing

Rolling out AutoFlow at key Kingston intersections, with real-time monitoring and performance tuning.

Technicians monitoring dashboards in a control center.

Live from the Control Center

Technicians monitor dashboards as the system learns and adapts, with metrics improving in real time.

30% congestion reduction achieved in week 1.

98% system uptime during pilot phase.

Continuous optimization based on collected data.

Implementation Timeline

A structured, phased approach to ensure a seamless transition to smarter traffic management.

Phase 1 (3 Months)

Design & Planning

Collaborative workshops, system architecture design, and defining key performance indicators.

Phase 2 (6 Months)

Infrastructure Deployment

Installation of smart sensors, cameras, and communication networks at target intersections.

Phase 3 (3 Months)

Pilot Testing

Live testing in a controlled area, AI model calibration, and real-time performance monitoring.

Phase 4 (Ongoing)

Expansion & Optimization

Phased city-wide rollout and continuous system learning and optimization for sustained efficiency.