Road Traffic Data Analytics Platform

Road Traffic Data Analytics Platform - Eastgate Software

/ ITS / Hong Kong / 2021-2023 /

Faster Incident Response
30-40%

Faster Incident Response

Data Availability
99.95%

Data Availability

Prediction Accuracy
90%

Prediction Accuracy

Client
Government Agency
Industry
ITS
Region
Hong Kong
Period
2021-2023
Engagement
Dedicated Team
Team size
100 MM

Summary

The client needed a government-cloud traffic analytics system for city-wide management, processing historical and real-time transport data to assess congestion and respond quickly to incidents. The platform required high scalability, reliability, and continuous availability for public services.

The Challenge

01

Massive real-time and historical transport data from city-wide sensors needed processing at scale

02

Slow identification and response to traffic incidents impacted city operations

03

The platform needed to handle peak-hour data loads without degradation

04

Government services demanded near-zero downtime and API reliability

The Solution

01 Secure public data APIs

Public access runs through secure internet-facing APIs, so city-wide transport data reaches the services that need it without exposing the platform behind it.

02 Five-minute data refresh

Traffic data refreshes every five minutes, giving near-real-time visibility of congestion across the city instead of a picture that is already out of date when it arrives.

03 Auto-scaling infrastructure

The cloud infrastructure scales automatically with no service interruption, which is what carries peak-hour data loads without the degradation the client could not accept.

04 Retraining without downtime

ML models retrain continuously while the APIs stay up. Model improvements ship without the outage window a government service cannot take.

05 GovCloud deployment

The platform runs on AWS GovCloud, which is what satisfies the regulatory position a public agency has to hold for city-wide transport data.

Eastgate Software engineers at work

Inside the build

Government-cloud traffic analytics for city-wide congestion management in Hong Kong

The Results

Operators act sooner

30-40% incident response time reduction through real-time alerting

Data always available

99.95% data availability across all endpoints

Jams seen coming

90% congestion prediction accuracy using ML models

The city runs on it

Platform serves as the backbone of Hong Kong's traffic management operations

Tech Stack

Frontend
Backend
Infrastructure
AWS GovCloud

Let's Work Together

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