CEI gives a metropolitan authority the one thing it has never had: a continuous, commuter-weighted view of how its city actually moves — by hour, by corridor, by signal. Delivered through a proprietary intelligence layer built specifically for municipal command.
Cities generate more data about how they move than ever before. The data exists. The intelligence does not.
Average peak-hour speed on major metropolitan arterials, against 50 km/h design capacity.
Productive hours lost per commuter, per year, to congestion alone. Nearly four working weeks.
Age of the traffic studies behind today's signal timings in most metropolitan corridors.
CEI is built on a single conviction: real urban intelligence emerges only when an independent reference meets a direct observation — and the two are forced to reconcile.
Conventional traffic management asks two questions and answers neither cleanly. Public mapping services tell you what the aggregate fleet experiences, but they are opaque, third-party, and not subject to municipal verification. Existing infrastructure tells you what was observed locally, but without an external reference it cannot tell you whether what was observed was good, bad, or expected.
CEI resolves both, simultaneously. A proprietary intelligence layer reconciles an external benchmark against direct on-the-ground observation, segment by segment, signal by signal, across every monitored corridor — every fifteen minutes during peak hours, around the clock.
The intelligence appears where the two disagree. Agreement confirms congestion observed two ways. Disagreement — when the benchmark says moving but the observation says queued, or vice versa — is an anomaly. Anomalies are where bottlenecks live, where signal timing has decayed, where infrastructure damage is suppressing throughput, where the operational story differs from the public story. This is the layer no incumbent system gives you.
A vendor-neutral external reference for aggregate fleet behaviour, sampled continuously across every monitored corridor and time window.
Ground-truth measurement of actual segment-by-segment journey performance, derived from existing municipal infrastructure without parallel build-out.
Five operational artefacts, delivered on a weekly cadence, designed for the rhythms of a metropolitan command structure.
Every monitored corridor colour-coded by current congestion ratio. Refreshed every five minutes. Click any corridor for its 24-hour trend, the bottleneck location, and the recommended action.
Ranked list of the week's twenty worst corridors with quantified commuter impact, root cause, and intervention recommendation.
Green-wave efficiency score, delay attribution, and specific timing recommendation per signal.
Every signal change and deployment decision logged with its measured impact on commuter journey times.
City-wide index, week-on-week trend, top three concerns, top three improvements. Designed for the City Governments.
Four reference deployments across two continents and three decades. The pattern is not theoretical.
The CEI team works with your traffic operations to select a representative set of corridors, audit the existing infrastructure, complete the data-protection review, and produce a final commercial proposal your office can consider with full information. Defined scope, defined duration, defined deliverables — designed for both teams to establish operational fit before any wider commitment is contemplated.
For an investment of less than one-thousandth of the annual cost of congestion to a major metropolitan area, that city can operate traffic on evidence rather than intuition.