Yango Smart City
Public Transport Management System

Operates across 100M+ users with $15B+ revenue in 2024, providing the infrastructure and reliability required for city-scale deployments

Integrated software and hardware covering analytics, dispatching, on-board telemetry, inspection tooling and payment rails to deliver actionable outcomes

Performance-based commercial model, aligning incentives with measurable impact

Real-time operational controls and decision support reduce reaction times and enable faster, data-driven city transport interventions

Central dispatching and platform tools provide consolidated control from trips to payments, enabling the city and carriers to manage operations through a single system

Analytics, dispatching, on-board equipment, and inspector tools are delivered as a combined software & hardware platform to support continuous operational control of carriers

The platform provides route-network and schedule optimization, passenger counting, origin-destination matrices, and operational monitoring for rapid decision-making

A contract includes implementation, production rollout and ongoing support to sustain system availability and governance over time

The transport system suffered from inefficient route planning, revenue leakage and excess fleet deployment that  limited fare revenue and service quality. A city rolled out an integrated analytics, dispatching, and on-board equipment platform to manage its public-transport network. The platform enabled smarter route planning, operational monitoring, and inspection routing based on passenger-flow and payment data. As a result, the city saw a preliminary estimate of ~30% increase in fare revenue and ~+115 M USD/year additional revenue. Excess fleet was reduced through better vehicle allocation and schedule matching

Average public-transport speeds were very low (around 10–15 km/h) on key corridors, causing slow, unreliable trips. A network speed analysis revealed those low operating speeds. Planners recommended introducing dedicated bus lanes and reorganizing traffic flows at critical junctions to address bottlenecks. These targeted measures were proposed specifically to raise average operating speeds and improve reliability. The speed map became the core diagnostic for corridor-level interventions

Fare evasion in certain districts exceeded the city average, reducing fare collection and revenue. Inspection routes were planned from fare-payment and origin–destination passenger-flow data to focus enforcement where evasion exceeded the average. The integrated platform provided tools for planning and monitoring inspector routes and for revenue-control operations. This measure was presented alongside operational monitoring and decision-support tools to increase fare collection

Vehicles and schedules did not match real passenger demand, producing underutilized services and inefficient fleet use. Using real passenger-demand data, operators revised vehicle classes, service intervals, and route-planning methods. The approach emphasized a multi-route planning strategy and route length adjustments to cut underutilized services. Changes were designed to optimize vehicle allocation and reduce unnecessary fleet deployment, better matching capacity to actual passenger flows