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Traffic

Traffic Flow Management

Using VLM traffic understanding and LPR entry/exit monitoring, existing intersection and corridor CCTV plus bus-mounted cameras are upgraded into a 24x7 proactive traffic-flow management system. Congestion nodes are detected every minute with cause reasoning (crash, roadworks, illegal parking, signal fault or natural congestion), published to CMS and navigation apps in real time and linked to dynamic signal timing. LPR entry/exit monitoring tracks vehicle movements and travel times for specific zones (industrial parks, port areas, event venues). The traffic bureau moves from knowing that traffic is jammed to knowing why and how to relieve it.

VLM output

An elevated CCTV camera overlooks a multi-lane riverside road at a signalized intersection with a crosswalk, where cars, a white coach bus, and numerous scooters move steadily through the frame. Traffic remains free-flowing and light-to-moderate across all four frames, with vehicles clearing the intersection and no stopped queues or incidents.

  • Traffic Flow StateFree-Flowing
  • Congestion LevelLow
  • Queue DetectedNo
  • Vehicle Count6-9 per frame
  • Dominant Vehicle TypeScooters
  • Intersection BlockedNo
  • Signal VisibleYes (Red)
  • Pedestrians On CrosswalkNo
  • VisibilityClear/Overcast

Customer challenges

1

Congestion in view is noticed by manual monitoring, about 30 minutes late

2

Systems know traffic is jammed but cannot reason why (crash, roadworks, parking, signal fault)

3

Congestion cannot be predicted before it forms, so diversion is always reactive

4

Signal faults (dark, flashing, wrong display) in view are not detected; repair waits for reports

5

Vehicle entry, exit and travel time around parks and ports are not measured from existing feeds

Customer benefits

Congestion reporting time cut from 30 minutes to 3 minutes; congestion prediction enables pre-emptive diversion

VLM congestion analysis linked to dynamic signals improves peak travel time by 8% or more

Congestion insights pushed to the public 100+ times a month; signal-control strategy optimised 10+ times a month

Signal-fault repair time cut from 4–6 hours to 2 hours

Bus mobile inspection lifts network coverage 3.7x with zero new roadside equipment

Entry/exit data and diversion recommendations make peak traffic around key industrial corridors predictable

Key features

LPR — Entry/Exit Monitoring

Reads license plates to monitor vehicle entry and exit.

Traffic Analysis

Analyzes traffic volume and flow patterns.

Before & after

Before Congestion known about 30 minutes late After — with Linker AI Nexa Known in about 3 minutes, awareness time -90%
Before Fixed signal phasing After — with Linker AI Nexa Dynamic timing linked to congestion nodes, peak travel time -8%
Before Public congestion information rarely pushed After — with Linker AI Nexa 100+ pushes per month to CMS, navigation and radio (about 3 per day)
Before Signal-control strategy rarely revised After — with Linker AI Nexa 10+ data-driven optimisations per month
Before Signal faults repaired 4–6 hours after report After — with Linker AI Nexa Repaired in about 2 hours, -80%
Before 15% of intersections under monitoring After — with Linker AI Nexa 55%+ with the bus fleet, coverage 3.7x

More Scenarios