Use case · City traffic police
See the jam before the complaint
Traffic police learn about most jams from citizen complaints, fifteen to ninety minutes after they form, and cameras cover only a few hundred junctions. Trafficure gives the control room a live view of every road in the city, with predictive alerts as congestion builds, so officers move before the queue does.
Get a demo →The gap
The control room is the last to know
By the time a jam reaches the control room as a citizen complaint, it has usually been building for fifteen to ninety minutes. The queue is already long, the side streets are already feeding it, and the officer who could have broken it early is somewhere else. The information arrives after the moment to act on it has passed.
Cameras do not close the gap on their own. A camera-based intelligent traffic management system watches two to three hundred junctions well, with enforcement and number-plate reading at each one. It does not see the arterials between them, the residential feeders, or the service lanes where a jam quietly forms. That is most of the city, and it is invisible.
What changes
One screen for every road
- 01
Coverage · Every road, not a few junctions
Arterials, residential streets and service lanes are all monitored from the same screen, so the part of the city cameras never reached stops being a blind spot.
- 02
Timing · The network refreshes every two minutes
Congestion is read across the whole network on a two-minute cycle, so a building queue shows up on the map while it is still small.
- 03
Alerts · Alerts fire as congestion forms
Machine-learning alerts trigger as a jam builds, not after it has set, and reach the control centre and the field through WhatsApp, SMS, email and webhook.
- 04
Dispatch · Officers move pre-emptively
The control room dispatches toward a forming jam rather than reacting to a complaint, which compresses the time from onset to response from a quarter of an hour or more to a couple of minutes.
The data behind it
Where the picture comes from
Trafficure reads anonymized, aggregated congestion data from Google Maps Roads Management Insights, drawn from more than a billion smartphones and refreshed every two minutes. There is no camera to install, no sensor in the road, and no construction.
It carries no identifying information about anyone. The data is aggregated and anonymized with k-anonymity at the source by Google, designed for the India DPDP Act, so the control room sees congestion on a road, never anyone on it. We hold one honest boundary: very quiet roads can drop out under k-anonymity, and the platform is built for network-wide visibility rather than running junction signals.
Before the complaint
We see the jam before the complaint.
A forming queue surfaces on the command centre and an alert reaches the control room in under three minutes, while the network keeps refreshing every two. The officer moves toward the build-up while it is still small.
The flagship
Pune, the proof at city scale
In February 2026, working with Google India, Pune became the first Indian city with software-only city-wide traffic management, run on Trafficure by the Pune City Traffic Police. The whole network of 550 monitored zones came live in three weeks, with no roadwork and no hardware.
Over a forty-five-day pilot, average speed across the monitored network rose from 20 to 26.8 km/h, a thirty-four percent gain. Across the first 102 days the platform surfaced and closed 39,734 congestion build-ups, with a median clearance of 26 minutes, on roughly 998 km across 119 corridors at 97.3 percent average probe coverage.
Where ITMS fits
Complementary to your cameras, not a replacement
Trafficure does not take the place of a camera ITMS, and it does not control signals. Cameras do junction enforcement and number-plate reading where they are installed. Trafficure watches the rest of the city, the part the cameras were never going to cover, and shows where the next camera investment will earn its keep.
The honest pattern is to deploy Trafficure first, in weeks and on subscription, to learn where the worst recurring congestion actually is, then point any future camera capex at those locations. The two systems run side by side: cameras for enforcement at the junction, Trafficure for visibility across the network.
What it changes
What pre-emptive visibility changes for the control room
- 01
Dispatch before the queue sets
Officers are sent toward a forming build-up on a two-minute cycle, so the response lands while the jam is still small and clearable.
- 02
No more blind streets
The roads between junctions, where complaints used to originate, are now on the same screen as everything else.
- 03
A record of what cleared
Every build-up that was surfaced and closed is logged, giving the city evidence of which corridors keep failing and which interventions worked.
Proof
Live across cities, not a pilot of one
The same command-centre platform that runs Pune is live for police and city authorities across the Pune and Kolkata regions, with the Pune Municipal Corporation pilot identifying twenty-three percent more congestion events during peak hours.
- Pune City Traffic Police
- Pune Municipal Corporation
- Kolkata Police
- Howrah Police Commissionerate
- Bidhannagar
- Barrackpore
See your city on Trafficure.
We run the demo on your city's actual road network, not slides. Bring a corridor that frustrates your control room and watch it resolve live.
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