One platform that covers every time horizon, catch congestion as it happens, understand why it keeps happening, and prove your interventions are working.
Three integrated modules that turn raw traffic data into actionable intelligence for your city.
The moment traffic deviates from normal on any road in the city, your team knows. Alerts push to your command centre, mobile phones, email, or WhatsApp, so you can intervene before the situation escalates.
Understand historical patterns, road-level performance, and speed baselines. Identify chronic bottlenecks and prioritize interventions with data that proves impact.
Daily briefings, weekly digests, and monthly summaries delivered automatically. CityPulse reports and congestion analytics keep stakeholders informed without manual work.
What makes TraffiCure fundamentally different from camera-based and sensor-based traffic management systems.
Traditional systems monitor 2-3% of roads at camera junctions. TraffiCure covers every road in your city (arterials, residential streets, and service lanes) using crowd-sourced data from over a billion smartphones via Google Maps.
No cameras, no sensor loops, no roadside cabinets, no civil construction. TraffiCure is 100% software, deployed on the cloud. Your city saves crores in capex and months of installation time.
Camera-based ITMS projects take 2-3 years to deploy. TraffiCure goes live in 2-4 weeks. We configure your road network, set alert thresholds, and connect your team, all remotely.
Built on the same real-time traffic layer that billions use daily. Google Maps aggregates anonymous speed data from smartphones, navigation apps, and connected vehicles, providing the most comprehensive traffic picture available.
A single screen for your traffic management team. See live congestion across the city, drill into any road, review alert history, and track performance trends, all from a web browser. No proprietary software to install.
Move from reactive to proactive traffic management. TraffiCure analyzes historical patterns to predict congestion before it happens, enabling pre-emptive interventions during recurring peak hours and events.
See how a software-first approach compares to conventional camera-based traffic management systems.
| Capability | TraffiCure | Camera-based ITMS |
|---|---|---|
| Road coverage | 100% of city roads | 2-3% (camera junctions only) |
| Deployment time | 2-4 weeks | 2-3 years |
| Capital expenditure | Zero (subscription model) | Rs 50+ crore |
| Hardware maintenance | None | Ongoing (cameras, servers, network) |
| Data refresh rate | Every 2 minutes | Varies (5-15 minutes typical) |
| Scalability | Instant (add roads in software) | Requires new hardware per junction |
| Historical analytics | Built-in from day one | Requires separate analytics layer |
Comparing against a specific vendor? See TraffiCure vs INRIX, TomTom, HERE, Kapsch, and traditional ITMS →
Read how TraffiCure works in practice, from city deployments to the technology behind our data pipeline. Start with our plain-English guide to Google Roads Management Insights, the feed our platform is built on.
Camera-based systems cover junctions. Sensor loops cover highways. But what about the other 97% of roads where congestion actually builds?
How our 2-minute refresh cycle delivers traffic intelligence that's faster than the congestion itself.
A real deployment story, from first call to full city coverage in under a month.