Solution

Hipower Solution

IIDS -Tunnel Incident Information Detection

The IIDS Tunnel Traffic Incident Management System is designed to enhance the real-time monitoring and event-triggered response capabilities of the Traffic Control Center in addressing traffic-related issues in mountain tunnels. It involves the deployment of a monitoring system along the tunnel route, with cameras placed every 70 to 100 meters based on tunnel height, width, and actual road conditions. These cameras continuously monitor and detect various events within the tunnel, utilizing AI image detection and recognition technology.
These events include traffic congestion, abnormal vehicle halts, unauthorized entry into work areas or lanes, debris on the road surface, thick smoke or fog generation, vehicle counterflow, and motorcycles entering the tunnel, among others. The captured video streams are transmitted in real-time via fiber optic networks to the central management platform for continuous monitoring. Simultaneously, the IID event detection system identifies the trigger locations of tunnel events and displays corresponding images on the central screen.

This solution utilizes AI image recognition technology in conjunction with a surveillance recording system to identify vehicles, pedestrians, and other traffic elements within traffic images. By combining image processing, machine learning, and deep learning techniques, it can extract valuable information from these images, including traffic flow, debris, vehicle trajectories, and traffic incidents, among others. This information holds significant value in traffic monitoring, traffic management, and traffic safety applications.

IIDs-Tunnel Safety Incident Detection Video

IIDS -Tunnel Incident Information Detection

Application Areas

To improve traffic safety, optimize transportation operations, enhance traffic efficiency, and reduce environmental energy consumption and carbon impact.

Traffic Flow Monitoring
Traffic Flow Monitoring
Through the recognition of vehicles in traffic images, real-time monitoring of traffic flow on roads is possible, including vehicle count, speed, and direction. This helps traffic management authorities understand road congestion and traffic mobility.
Violation Detection
Violation Detection
Violation behavior can be monitored using image recognition technology. This includes detecting violations such as running red lights, illegal lane changes, emission of black smoke, driving in the wrong direction, motorcycles entering highways, and individuals lingering in tunnels. This assists law enforcement agencies in monitoring and addressing traffic violations.
Mountainous Area Traffic Monitoring
Mountainous Area Traffic Monitoring
By recognizing vehicles and pedestrians in traffic images, monitoring the safety of intersections, recording license plate information of passing vehicles, and maintaining a record of passing images, historical passing records can be accessed for event investigation and queries.


Traffic Diversion and Incident Management
Traffic Diversion and Incident Management
Identifying stranded vehicles and individuals in tunnel environments can be crucial for incident management, such as accident response and traffic diversion during congestion. It also involves reporting the generation of thick smoke and initiating the operation of ventilation fans for effective communication and incident management.
Performance Assessment of Traffic Segments
Performance Assessment of Traffic Segments
Using image detection and license plate recognition technology, it is possible to identify and monitor vehicles in specific areas, enabling the establishment of performance assessments for road segments. This includes evaluating tunnel traffic flow and dynamic traffic signal performance for management and assessment.
Graphic Display Management
Graphic Display Management
Creating electronic tunnel maps and integrating surveillance images and event information into a graphic control platform for real-time display and management of anomalies. This comprehensive management and analysis of event types and correlations establish a highly reliable and intelligent management operation.

IIDS -Tunnel Incident Information Detection

Application Actual Cases

Enhancing the Traffic Control Center's real-time and precise monitoring and response capabilities for tunnel traffic enables more effective improvement in tunnel traffic safety and management efficiency.

Benefits

Real-Time Monitoring

Real-Time Monitoring and Event Trigger Notification

Through the continuous deployment of cameras for monitoring and detection along the tunnel's roadways, the Traffic Control Management Center can instantly grasp the tunnel's traffic conditions, detect traffic incidents, and promptly trigger notifications, thereby enhancing its real-time response capabilities to abnormal situations.
Event Detection and Recognition

Event Detection and Recognition

Utilizing AI image detection and recognition technology to identify events such as traffic congestion, abnormal vehicle halts, unauthorized personnel entry into work zones or lanes, debris on the road, dense smoke or fog generation, vehicle counterflow, and motorcycles entering the tunnel. This technology assists the control center in rapidly identifying issues and taking appropriate actions.
Fiber Optic Network Real-Time Streaming

Fiber Optic Network Real-Time Streaming

Using fiber optic networks to transmit real-time image streams to the central management platform ensures stable and immediate image transmission, allowing management personnel to promptly assess the tunnel's interior conditions.

Event-Triggered Image Pop-Up Display

Event-Triggered Image Pop-Up Display

The system can automatically lock onto the tunnel's event-triggered location and display images on the central screen in real-time, providing more direct and immediate information to assist management personnel in quickly assessing the severity of events and formulating response measures.
Assisting Traffic Planning and Decision-Making

Assisting Traffic Planning and Decision-Making

Event Homogeneity-Related Filtered Interpretation: The system can identify consecutive events and filter them into a single event, preventing frequent reporting of the same incident, thereby improving event handling efficiency.
Enhancing Control Center Efficiency

Enhancing Control Center Efficiency

By combining precise event-triggered messages with electronic map displays, the Traffic Control Management Center can monitor tunnel environments rapidly and effectively, respond to events promptly, enhance the reliability of notification reception, and ensure message accuracy. This significantly improves the center's ability to control long tunnel environments.