Revenue distribution
for bus networks

Revenue that follows how people actually travel.

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Every journey starts with a single ticket

Passengers travel with a single ticket but splitting that revenue fairly is far from straightforward. In many African bus networks, data sits in different systems and journeys span multiple services, with revenue managed manually.  But with Trapeze, fares are calculated using real journey data – bringing them in line with how people actually travel and reducing disputes. 

Where operators, fares and
data collide

Bus networks rarely run in isolation. That means journeys can involve multiple operators, different fare types and high ticket volumes across channels. While integrated ticketing makes travel easier for passengers, it makes revenue harder to manage. Authorities need to deal with complex fares, meet transparency requirements, and avoid disputes, often working with data spread across different systems. There isn’t always a clear way to bring it together.

Where operators, fares and data collide

Bus networks rarely run in isolation. That means journeys can involve multiple operators, different fare types and high ticket volumes across channels. While integrated ticketing makes travel easier for passengers, it makes revenue harder to manage. Authorities need to deal with complex fares, meet transparency requirements, and avoid disputes, often working with data spread across different systems. There isn’t always a clear way to bring it together.

Where operators, fares and data collide

Bus networks rarely run in isolation. That means journeys can involve multiple operators, different fare types and high ticket volumes across channels. While integrated ticketing makes travel easier for passengers, it makes revenue harder to manage. Authorities need to deal with complex fares, meet transparency requirements, and avoid disputes, often working with data spread across different systems. There isn’t always a clear way to bring it together.

A cleaner way to split revenue

Trapeze’s revenue distribution system calculates each operator’s share using ticketing transactions and validated journey data, bringing everything into a single, consistent dataset. Rules are configured to reflect how people actually travel—by distance, zones, or usage—so revenue follows real journeys. That logic is then applied consistently across the network, at scale, and across every operator. This creates a more accurate, joined-up view of network performance, grounded in actual passenger behaviour rather than assumptions. Transport authorities gain a clear, auditable basis for settlement they can rely on.

Poor inputs lead to bad splits

In many bus networks, revenue is still calculated using incomplete or operator-reported data. That makes it hard to reflect how passengers actually travel—and harder to stand behind the results. As networks become more integrated, these gaps become more visible, increasing pressure on authorities to produce allocations that are accurate, defensible, and not open to manipulation.

Next-level arrival time prediction

Consistently accurate ETA predictions are generated by combining live bus data, route progress, historical travel patterns and traffic conditions in a system that is continuously recalculating.

Real-time vehicle position

Each bus continuously sends its location, speed and progress back to the system. This gives a live view of where every bus is and how it is performing across the network.

Route progress monitoring

The system tracks how far each bus has travelled along its route and how much distance remains. This is used to calculate how long it will take to reach upcoming stops.

Historical travel time analysis

Past journey data is used to understand how long different parts of a route typically take, including peak periods, quieter times and seasonal changes.

Adaptive prediction algorithms

Arrival times are calculated using a combination of live vehicle data, recent journey conditions, historical patterns and timetable data. These inputs are continuously balanced to maintain accuracy as conditions change.

Integration with traffic information systems

Traffic conditions, incidents and roadworks can be fed into the system to adjust predictions in real time, helping reflect delays as they happen.

Continuous prediction updates

As buses move, arrival times are constantly recalculated and updated across all passenger information channels, ensuring the latest information is always shown.

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Know where your revenue stands

With Trapeze, you can manage revenue across your bus network with more control and consistency. 

Produce results based on a single, consolidated set of transaction data. This shows network usage and operator responsibility, so operators can understand and agree on how revenue is allocated.

Use validated journey and ticketing data to reflect how passengers actually travel, so operators are remunerated for the services they provide, not estimates or assumptions.

Bring data from your systems into one consistent view, so decisions are based on reliable information. 

Generate reliable figures for reconciliation and payment, reducing the need for manual validation and rechecking of transaction dat

Process more journeys and data as your network grows, without adding extra work for your teams.

Designed for real-world network complexity

Behind the scenes, this is what makes revenue distribution work. 

Distribution methods based on distance, zones, usage or agreed rules, aligned to how your network operates and how revenue needs to be shared.

Ticketing transactions and validated journey data brought together, so revenue can be calculated using a complete and consistent set of information. 

System-based calculation of revenue shares across operators, designed to handle high volumes of data without manual effort.

Outputs to support reconciliation and payment between operators and authorities, with consistent figures to work from.

A clear record of how revenue is calculated and distributed, so it can be audited and used to resolve disputes.

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What authorities say

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John Doe – Chief Executive of
Public Transport,
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