Smart City & Government Iot Devices

Dinas Perhubungan Kota Surabaya

City-Wide Adaptive Traffic Management, Surabaya

trending-down

28%

Congestion Reduction

zap

11min

Emergency Response (from 18)

map

240

Intersections Managed

activity

Real-time

Traffic Adaptation

Technologies Used:
Computer VisionYOLOv8Adaptive Signal ControlFiber OpticAWSPythonReact
01 / Challenge

The Problem

Fixed signal timing optimized for 2015 patterns caused chronic congestion at 240 intersections. Emergency vehicle response averaged 18 minutes.

02 / Solution

What We Built

Computer vision cameras at 240 intersections. Real-time vehicle density AI adjusts signal timing every 30 seconds. Emergency vehicle preemption clears green corridors within 2 minutes of dispatch.

03 / Results

The Outcomes

Average wait time reduced 28%. Emergency response improved from 18 to 11 minutes. Estimated city-wide fuel savings: Rp 2.1 trillion annually.

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