Everything you need to understand and implement transport analytics
Comprehensive analysis of emerging trends, technologies, and opportunities in NZ transport data analytics through 2030.
Download PDFTechnical deep-dive into machine learning models for traffic prediction and signal optimization.
DownloadComparing traditional survey methods with modern data fusion techniques for OD analysis.
DownloadImplementation guide for integrating with SCATS systems across Australian and NZ networks.
DownloadEconomic analysis of freight optimization benefits across 10 NZ logistics companies.
DownloadGuidelines for responsible data handling under Privacy Act 2020 and international standards.
Download{
"api_endpoint": "https://api.roadinsite.com/v2",
"auth_method": "oauth2",
"data_sources": [
{
"type": "gtfs_rt",
"url": "https://api.at.govt.nz/v2/gtfs",
"refresh_rate": 30
},
{
"type": "scats",
"connection": "tcp://scats.server:8080",
"credentials": "encrypted"
}
],
"update_frequency": 900,
"retention_days": 365
}
Access all RoadInsite functionality programmatically with our comprehensive API.
GET /api/v2/corridors/queen-street/performance Authorization: Bearer YOUR_API_TOKEN Accept: application/json
{
"corridor_id": "queen-street",
"timestamp": "2025-01-20T14:30:00Z",
"metrics": {
"average_speed": 28.5,
"travel_time": 420,
"congestion_level": 0.65,
"reliability": 0.82
},
"segments": [...]
}
wss://stream.roadinsite.com/signals
// Subscribe to signal updates
{"action": "subscribe", "signals": ["S001", "S002"]}
// Receive real-time updates
{"signal": "S001", "phase": "green", "remaining": 25}
Complete walkthrough of platform features and capabilities.
Deep dive into signal timing optimization techniques.
Step-by-step guide to integrating RoadInsite APIs.
Expert tips for origin-destination pattern analysis.