Solution

Hipower Solution

Intelligent Transportation Data Collection (ITS)

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

Through image recognition technology, it's possible to identify vehicles, pedestrians, and other traffic elements in traffic images. By combining techniques such as image processing, machine learning, and deep learning, valuable information can be extracted from these images, including traffic flow, vehicle speed, vehicle trajectories, and traffic events. This information holds significant value in applications related to traffic monitoring, traffic management, and traffic safety.

Through image recognition technology, it's possible to identify vehicles, pedestrians, and other traffic elements in traffic images. By combining techniques such as image processing, machine learning, and deep learning, valuable information can be extracted from these images, including traffic flow, vehicle speed, vehicle trajectories, and traffic events. This information holds significant value in applications related to traffic monitoring, traffic management, and traffic safety.

ITS-Intelligent Transportation Data Collection Video

ITS_Intelligent Transportation Data Collection

Application Areas

Enhancing traffic safety and improving traffic efficiency in various scenarios

Traffic Flow Monitoring
Traffic Flow Monitoring
By recognizing vehicles in traffic images, real-time monitoring of traffic flow on roads, including vehicle count, speed, and direction, can be achieved. This assists traffic management authorities in understanding road congestion and traffic mobility.
Violation Detection
Violation Detection
Using image recognition technology, violations in traffic images can be detected, such as stopping in prohibited areas, improper lane changes, and running red lights. This aids law enforcement agencies in monitoring and addressing traffic violations.
Intersection Safety Monitoring
Intersection Safety Monitoring
By recognizing vehicles and pedestrians in traffic images, intersection safety can be monitored. This includes ensuring accurate timing of traffic signals and detecting traffic violations, thereby enhancing intersection safety.
Area Road Surveillance
Area Road Surveillance
Analyzing traffic flow and vehicle trajectories in traffic images provides valuable information for urban road network planning and traffic design. This includes road capacity assessment, signal timing, and traffic simulation.


ITS Traffic Data Collection

Application Actual Cases

Intersection Data Collection

Intersection Data Collection

Intersection Data Collection

 Utilizing in-car recorders or network cameras with 4G transmission and GPS positioning, data is integrated into mapping platforms for real-time recognition and positioning.
ITS Traffic Data Collection System Deployment

ITS Traffic Data Collection System Deployment

ITS Traffic Data Collection System Deployment

 Real-time monitoring and feedback mechanisms can be provided on LED display screens, offering pedestrians immediate traffic information to assist them in making adaptive route choices and driving decisions.
VCMS

IoT Smart Device Poles - Solving Urban Issues

IoT Smart Device Poles - Solving Urban Issues

 Using appropriate IoT devices, IP cameras, digital billboards, or small base stations based on location, sensor-based applications are employed to address driver-related concerns, such as traffic flow monitoring, technology enforcement, parking detection, or autonomous vehicle infrastructure.

Intersection Traffic Flow Data Display

 Through advanced technology and deep learning algorithms, traffic data collection can provide highly accurate data and information.
ITS Traffic Data Collection System Implementation

ITS Traffic Data Collection System Implementation

ITS Traffic Data Collection System Implementation

 Analyzing information such as traffic flow, vehicle speeds, and vehicle trajectories in traffic images aids traffic management authorities in optimizing signal timing, road design, and network planning. This enhances traffic efficiency, reduces congestion, and saves travel time.

Thermal Imaging - Lane (Noon)

 Thermal imaging cameras detect vehicle or pedestrian intrusions or presence in lanes. Through thermal image analysis, vehicle and pedestrian positions, movement directions, and activities can be detected, assisting in traffic data collection, vehicle counting, speed measurement, pedestrian analysis, and alarm system establishment.

Thermal Imaging - Lane (Night)

 Thermal imaging cameras detect vehicle or pedestrian intrusions or presence in lanes. Through thermal image analysis, vehicle and pedestrian positions, movement directions, and activities can be detected, assisting in traffic data collection, vehicle counting, speed measurement, pedestrian analysis, and alarm system establishment.

Data Collection and Monitoring Center

 Analyzing traffic flow and vehicle trajectories in traffic images provides valuable information for urban road network planning and traffic design. This includes road capacity assessment, signal timing, and traffic simulation.


Enhancing traffic safety, optimizing traffic operations, improving traffic efficiency, and reducing environmental impact.

Benefits

Enhancing Traffic Safety

Enhancing Traffic Safety

By recognizing vehicles, pedestrians, and traffic incidents in traffic images, potential safety risks like accidents, violations, and hazardous road sections can be detected in real-time. This aids law enforcement and traffic management authorities in responding swiftly, taking appropriate measures, and thereby reducing the occurrence of traffic accidents.
Reducing Regional Traffic Congestion

Reducing Regional Traffic Congestion

Through analyzing information such as traffic flow, vehicle speeds, and vehicle trajectories in traffic images, traffic management authorities can optimize traffic signal timing, improve road design, and plan road networks. This enhances traffic efficiency, reduces congestion, and saves travel time.
Providing Real-time Information and Services

Providing Real-time Information and Services

Through traffic data collection and image detection recognition, real-time information regarding traffic flow, road conditions, and public transportation can be provided. This assists drivers, passengers, and commuters in making informed route choices and travel decisions. Additionally, it offers convenient public services such as parking guidance and bus arrival predictions.
Enhancing Traffic Management Efficiency

Enhancing Traffic Management Efficiency

Traditional manual methods of traffic data collection require significant human resources and time. However, traffic data collection through image detection and recognition technology achieves intelligent automated information gathering and analysis. This significantly enhances the efficiency and accuracy of traffic management, enabling traffic management authorities to make faster decisions and address traffic issues.
Assisting Traffic Planning and Decision-making

Assisting Traffic Planning and Decision-making

Traffic data collection and image detection recognition provide abundant traffic data and information. These can be used to assist in traffic planning and decision-making. For instance, traffic flow data can help traffic planners determine road capacity requirements, and traffic pattern analysis can guide urban development and transportation infrastructure construction.
Traffic Accident Analysis and Investigation

Traffic Accident Analysis and Investigation

By analyzing traffic data collection images, it's possible to reconstruct the process of traffic accidents, identify causes and responsibilities, and assist traffic management authorities in accident analysis and investigation. This contributes to improving traffic facilities and safety measures, ultimately reducing the occurrence of traffic accidents.


System Architecture

ITS Traffic Data Collection - Decentralized
ITS Traffic Data Collection - Centralized

Intelligent Traffic System

Solution Systems

AVI_Automatic Vehicle Identification

AVI_Automatic Vehicle Identification

AVI
Automatic Vehicle Identification

VDS_Vehicle Detection System

VDS_Vehicle Detection System

VDS
Vehicle Detection System

QLD_Queue Level Detection

QLD_Queue Level Detection

QLD
Queue Level Detection

VBS Network Video Broadcasting System<

VBS Network Video Broadcasting System<

VBS
Network Video Broadcasting System<