What does “passenger flow” mean?

Passenger flow describes the movement and behavior of passengers within a transport network, including how they enter, exit, transfer, and occupy space over time. Understanding these flows helps operators make data-driven decisions about schedules, capacity, staffing, and infrastructure.

What is PIS in railway systems?

PIS stands for Passenger Information System. It’s a digital system used in railways to communicate real-time updates to passengers,such as arrival/departure times, delays, platform changes, and safety messages. Acorel’s flow management solutions can complement PIS by providing live occupancy data and flow predictions.

How does passenger counting technology work?

Passenger counting systems use technologies like 3D stereoscopic sensors, AI-based video analytics, and Wi-Fi/Bluetooth detection to anonymously count people as they enter and exit vehicles or stations. These systems ensure high accuracy (often above 98%) and are fully GDPR-compliant.

What are the benefits of a passenger counting system in public transport?

Benefits include: Reduced overcrowding and waiting times Optimized vehicle and staff allocation Improved schedule and route planning Enhanced safety and compliance with capacity regulations More informed strategic decisions through data analytics

Passenger flow management

Q: What is passenger flow management?

Passenger flow management refers to the process of monitoring, analyzing, and optimizing how people move through transport systems, such as buses, trains, metro stations, and terminals. It involves using sensors, data analytics, and software tools to improve efficiency, reduce congestion, and enhance the passenger experience.

What is passenger flow management?

Understand movement. Empower operations. Improve experiences.

Passenger flow management is Acorel’s end-to-end solution designed to monitor, analyze, and optimize the movement of people in transportation. By combining advanced hardware sensors with industry-specific software suites, the system captures real-time data and transforms it into actionable insights.

Step 1. Real-time detection

Sensors and cameras collect passenger flow data.

Technologies used:

2D/3D stereoscopic sensors
Computer vision from existing CCTV cameras
Wi-Fi/Bluetooth tracking
Ticketing system integrations

Outcome:

Anonymous, accurate data on occupancy, direction, and timing of movement fully GDPR-compliant.

Step 2. Edge-level processing

The central control unit (CCU) processes and transmits data. Data is processed in real time directly within the vehicle, station, or building through local edge devices or servers.

Hardware involved:

Central Control Unit (CCU)
Onboard processing modules vision from existing CCTV cameras

Outcome:

Fast, secure data transmission with minimal latency even in high-density or mobile environments.

Step 3. Sector-specific intelligence with Vision Mobility or Vision Rail

The central control unit (CCU) processes and transmits data. Data is processed in real time directly within the vehicle, station, or building through local edge devices or servers.

This powerful, cloud-enabled platform transforms raw movement data into operational intelligence. It gives transit agencies full visibility into how passengers use the network and enables instant reactions and long-term improvements.

Step 4. Decision-making & optimization

Operators access dashboards, alerts, and reports in real time. Insights from the Vision platform drive better decisions automatically or through operational teams.

Outcome:

Fast, secure data transmission with minimal latency even in high-density or mobile environments.

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