26 May 2026

Smart solutions and flow management in transport

Smart solutions such as contactless ticketing, real-time information, predictive analytics, and automated passenger counting help optimize passenger flow and reduce congestion in public transport. By leveraging IoT and data, they enhance planning, service reliability, and the overall passenger experience.

Smart solutions and flow management in transport
Traffic management

The efficiency of public transport is crucial for modern urban life, and as cities expand, the need for smart solutions to improve passenger flow is becoming increasingly important. In recent years, technological advances have paved the way for innovative systems and strategies aimed at optimizing public transportation, making it more accessible to everyone.

Traffic management

How can passenger flow be improved in public transport?

Smart ticketing systems

The implementation of smart ticketing systems has revolutionized the boarding process by significantly reducing queues and, therefore, congestion at ticket counters.

Contactless payment methods, such as mobile apps or smart cards, allow passengers to board seamlessly, reducing the time spent at entry points.

Real-time passenger information

Real-time information systems are a key component of innovations aimed at improving passenger flow in public transport. These smart solutions provide a high level of transparency and accessibility for users.

Real-time mapping

Smart information systems provide real-time updates on arrivals, departures, and delays, enabling passengers to plan their journeys more efficiently.

Digital displays, mobile apps, and announcement systems keep passengers informed, minimizing confusion and congestion caused by uncertainty.

Interactive maps in stations and onboard vehicles allow passengers to track their journey in real time.

The integration of mapping data with transport information offers a clear visualization of routes, stops, and any potential disruptions.

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Predictive analytics for planning

Predictive analytics algorithms analyze historical data to optimize bus schedules, for example, by forecasting peak hours and adjusting services accordingly.

This ensures sufficient capacity during high-demand periods, reducing overcrowding and improving the overall passenger experience.

Automatic passenger counting

Automatic passenger counting is a key component of smart solutions that are transforming passenger flow in public transport. This technology relies on sensors, cameras, or other intelligent devices to automatically monitor and record the number of people entering and exiting stations or vehicles. Here are some important insights about automatic passenger counting in this context:

Purpose of the technology

The main objective of automatic passenger counting is to provide accurate, real-time data on crowd levels in stations, buses, trams, or other modes of public transport.

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Traffic management

Accuracy and reliability

Modern automatic counting technologies are designed to deliver high accuracy, minimizing counting errors and ensuring the reliability of the data collected.

Trend analysis

The data collected also makes it possible to analyze long-term trends, helping transport authorities plan improvements, anticipate future needs, and optimize resources.

IoT connectivity for fleet management

Internet of Things (IoT) devices installed on public transport vehicles enable real-time monitoring of their condition.

Predictive maintenance and proactive issue resolution help prevent breakdowns, ensuring more reliable service and minimizing disruptions to passenger flow.

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Commercial team:
Sylvain BERREE

Sylvain BERREE

Sales manager
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