X-AID™ Video Incident Detection for Vuosaari Tunnel, Finland

Project Overview

Telegra is delivering the X-AID™ video-based disturbance detection system for the Vuosaari Road Tunnel in Finland.

The project is part of the Vuosaari Road Tunnel replacement investment and focuses on automatic detection of tunnel traffic disturbances, integration with the tunnel control system, alarm verification, reporting, and operator support.

The Vuosaari Road Tunnel is a two-tube vehicle tunnel in Helsinki, located on Satamatie as an extension of Ring Road III toward Vuosaari Harbour. The tunnel is approximately 1,520 m long and consists of two tunnel tubes, each with two traffic lanes.

Telegra’s delivery is focused on X-AID™ video analytics and supporting topXview™ software components for disturbance detection, alarm visualization, reporting, video verification, and interface communication with the tunnel control system.

Project Status

This project is currently being implemented.

Client Challenge

The Vuosaari Tunnel requires a disturbance detection system capable of supporting safe tunnel operation by automatically detecting critical traffic events and transferring alarm information to the tunnel control system.

The main operational and technical challenges include:

• automatic detection of stopped vehicles,
• automatic detection of slow vehicles,
• automatic detection of vehicles moving in the wrong direction,
• mapping alarms to tunnel detection areas, lanes, and emergency stopping areas,
• integration with the external tunnel control system interface,
• adaptation to tunnel control scenarios such as lane closure, tunnel tube closure, maintenance work, and snow-related conditions,
• support for alarm filtering by disturbance type, detection area, lane, and detection device,
• video recording and still-image capture for alarm verification,
• reporting of alarms and events,
• support for Finnish-language user interface requirements,
• operation in a tunnel environment with variable lighting, self-illuminating devices, snow, dust, and camera cleanliness considerations.

Telegra Solution

Telegra is providing the X-AID™ video-based disturbance detection solution together with supporting topXview™ software components.

The solution is designed to analyze tunnel camera video streams, detect selected traffic disturbances, generate alarms, provide evidence for alarm verification, and exchange alarm and configuration information with the tunnel control system.

The solution includes:

• X-AID™ video-based disturbance detection,
• topXview™ user interface components,
• alarm visualization and event lists,
• reporting web application,
• alarm video clips and screenshots,
• Video Client application for viewing and exporting recordings,
• external TCP interface to the tunnel control system,
• support for detection filters and detection parameters through the external interface,
• support for stopped vehicle, slow vehicle, and wrong-way vehicle detection,
• camera-quality measurement based on image blurriness,
• predefined reports,
• FAT procedure and integration testing environment,
• X-AID™ simulator / TCP interface simulator for external interface testing.

Tunnel Environment

The Vuosaari Road Tunnel has specific operational and environmental characteristics relevant to video-based disturbance detection.

Key tunnel characteristics include:

• two vehicle tunnel tubes,
• approximately 1,520 m tunnel length,
• two lanes per tunnel tube,
• normal speed limit of 70 km/h,
• variable speed limits,
• 14 gateways between tunnel tubes,
• emergency stopping areas in each tunnel tube,
• tunnel technology including lighting, ventilation, lane signals, surveillance cameras, and fire detection cables,
• winter conditions with snow accumulation inside the tunnel,
• wood chips and debris that may accumulate near roadway edges and shoulders due to tunnel traffic.

These characteristics influence detection-area design, camera setup, false-alarm management, and scenario-based alarm filtering.

Detection Areas & Lane-Based Alarm Targeting

The disturbance detection system is designed to support detection areas mapped to the tunnel structure.

Detection areas are organized longitudinally along the tunnel and transversely across the tunnel cross-section. The system supports configuration of detection areas for lanes, shoulders, and emergency stopping locations.

The detection-area approach supports:

• detection by tunnel tube,
• detection by longitudinal detection zone,
• detection by lane,
• separate detection areas for emergency stopping locations,
• overlapping detection areas between consecutive zones,
• alarm targeting by detection area ID,
• different alarm names or tags depending on lane, logical area, or emergency stopping area,
• reporting of alarms from multiple areas when an object is located in overlapping or adjacent detection zones.

This allows detected traffic disturbances to be associated with the correct tunnel area and forwarded to the tunnel control system with the required location context.

Detected Events

The X-AID™ system for the Vuosaari Tunnel is designed to detect the following traffic disturbances:

• stopped vehicles / stationary objects,
• slow vehicles,
• vehicles moving in the wrong direction.

Alarm information is designed to include at least:

• alarm type,
• detection area ID,
• timestamp,
• event context required for forwarding to the tunnel control system.

The system is designed to support adjustable parameters for slow-vehicle detection, including speed threshold and detection time. The slow-vehicle alarm can also be disabled on a lane-by-lane basis through the external interface.

Scenario-Based Alarm Filtering

The Vuosaari Tunnel disturbance detection system must adapt to different tunnel control situations.

The system supports scenario-based behavior through the external TCP interface by applying detection filters and detection parameters.

Supported operational contexts include:

• normal tunnel operation,
• lane closure,
• tunnel tube closure,
• lane closure due to maintenance work,
• maintenance work at emergency stopping areas,
• snow-related tunnel conditions,
• user-defined filtering by detection device,
• user-defined filtering by disturbance type,
• user-defined filtering by lane or detection area.

The X-AID™ system continues to detect events internally, while reporting to the tunnel control system is filtered through the external interface according to the active tunnel scenario.

Wrong-Way Vehicle Filtering

The system supports filtering logic for wrong-way vehicle alarms.

The filtering can be configured so that a wrong-way alarm is forwarded to the tunnel control system only when the object is detected in one or two consecutive detection zones or cameras, depending on the selected setting.

This functionality helps reduce unnecessary forwarded alarms while preserving visibility of detections in the X-AID™ user interface.

External Interface with Tunnel Control System

The solution supports communication with the tunnel control system through an external TCP interface.

The interface supports:

• transmission of detected alarms to the tunnel control system,
• activation of detection filters,
• adjustment of detection parameters,
• disabling and re-enabling alarm transmission by disturbance type,
• disabling and re-enabling alarm transmission by detection area,
• disabling and re-enabling alarm transmission by lane,
• scenario-based control through external interface commands,
• interface logging for applied filters and parameters.

This makes the X-AID™ disturbance detection system part of the wider tunnel control environment while preserving clear separation between detection logic and tunnel control logic.

Alarm Recording, Reporting & Verification

The system supports alarm verification through video and reporting tools.

When an alarm is generated, the system can provide video recordings and still images associated with the alarm event. These materials support road traffic center operators in verifying whether an alarm is justified or unfounded.

The reporting and verification capabilities include:

• alarm event recording,
• alarm video clips,
• alarm screenshots,
• alarm and event lists,
• predefined reports,
• review of each alarm with associated video clips and screenshots,
• manual video export through the Video Client desktop application,
• reporting web application,
• storage of alarm and event data on system servers,
• support for post-event review and analysis.

Camera-Based System Capabilities

The X-AID™ solution supports camera-based video analytics requirements relevant to tunnel disturbance detection.

Supported capabilities include:

• real-time video analysis,
• display of defined detection areas and observations,
• recording of video and still images for disturbance observations,
• image-quality measurement based on blurriness,
• support for H.264/MPEG-4 AVC video streams,
• support for RTP/RTSP video streaming,
• support for unicast and multicast video streams.

Factory Testing & Simulation

Telegra supports the implementation through a factory testing and simulation approach.

The integration testing environment is prepared at Telegra’s facility, where the X-AID™ software is installed on an analyzer for prototyping and virtual interface servers simulate the production server environment.

Expected Operational Impact

Expected benefits include:

• improved automatic detection of tunnel traffic disturbances,
• faster awareness of stopped vehicles, slow vehicles, and wrong-way vehicles,
• alarm forwarding to the tunnel control system with detection-area context,
• improved operator verification through alarm video clips and screenshots,
• scenario-based alarm filtering for lane closures, tunnel closures, maintenance work, and other operational states,
• better support for tunnel safety operations,
• structured reporting and event review,
• integration of video-based disturbance detection into the wider tunnel control environment.

Related Software Solution Areas

• Incident Detection & Incident Management Workflows,
• Tunnel Control & SCADA Supervision Systems,
• Traffic Management Center (TMC) Platforms,
• ITS Integration & Interoperability,
• Traffic Analytics, Reporting & Operational Intelligence.

Download Case Study

Download the original PDF case study:

Finland - Vuosaari Tunnel Video Incident Detection

Frequently Asked Questions

What is the Vuosaari Tunnel X-AID™ case study about?

It describes Telegra’s in-progress delivery of the X-AID™ video-based disturbance detection system for the Vuosaari Road Tunnel in Finland.

What type of system is Telegra delivering?

Telegra is delivering X-AID™ video-based disturbance detection with supporting topXview™ components for alarm visualization, reporting, video verification, and external interface communication with the tunnel control system.

What traffic disturbances does the system detect?

The system is designed to detect stopped vehicles, slow vehicles, and vehicles moving in the wrong direction.

Does the system integrate with the tunnel control system?

Yes. The system supports an external TCP interface for transmitting alarms, applying detection filters, adjusting detection parameters, and supporting tunnel control scenarios.

Does the system provide alarm video evidence?

Yes. The system supports alarm-related video clips and screenshots, allowing operators to review and verify detected events.

Does this case study support Telegra’s tunnel incident detection positioning?

Yes. The project demonstrates Telegra’s capability to deliver video-based tunnel disturbance detection, alarm reporting, scenario-based filtering, and tunnel control system integration for a demanding road tunnel environment.