Automatic Traffic Count and Classification

Automatic Traffic Count (ATC) and Classification (ATCC) systems are technologies used to monitor and analyze vehicular traffic on roads and highways without the need for manual data collection. These systems play a crucial role in transportation planning, traffic management, and infrastructure development. They provide accurate and real-time data about traffic patterns, vehicle types, speeds, and other relevant information, which can help transportation agencies make informed decisions to improve road safety and traffic flow.

Overall, automatic traffic count and classification systems are vital tools for modern transportation management, enabling authorities to make data driven decisions for efficient road network operation and development.

Solution Overview

YASHRETAIL’s ATCC solution is a video based Automatic Traffic Count and Classifier. It is a standalone system based on neural network/map matching technique. It gathers real time traffic data, including vehicle count, classification, traffic volume, average traffic speed, time headway, direction, and occupancy. Our system can count and classify traffic in different classes

• Two wheelers
• Heavy Motor Vehicle (Trucks / Buses / Lorry)
• Light Motor Vehicle (Car / Auto / Mini Van)
• Light Commercial Vehicle (Taxi / Tourist Mini Buses)
• Others (MAVs, OSVs, Crane, JCB, Tractor, Machinery equipment Vehicle, etc.)

Salient Features

• A complete IP Video based Solution
• Free flow traffic Count and Classification.
• Cover up to multiple lanes of traffic
• Capable to detect
• Parallel vehicles
• Bi-directional vehicle detection either from left or right side
• High accuracy level
• Real time video analysis
• Easy validation of traffic data
• Easy integration with third party software

Here’s how ATCC systems generally work ?

1. Sensors and Cameras: These systems typically use a combination of sensors and cameras placed strategically alongside the roadways. The sensors can include inductive loops embedded in the pavement, radar sensors, acoustic sensors, and optical sensors.

2. Data Collection: The sensors detect passing vehicles and collect data such as vehicle speed, length, and time of passage. Cameras can capture images and sometimes video footage of the vehicles. Some advanced systems even use machine learning and computer vision techniques to extract additional information from the images, such as vehicle type, color, and license plate recognition.

3. Data Processing: The collected data is then processed using specialized software and algorithms. This involves analyzing the sensor readings and images to determine various parameters like vehicle count, classification, speed, and spacing between vehicles.

4. Traffic Classification: One of the key features of ATCC systems is the ability to classify vehicles into different categories based on size, type, and sometimes other characteristics. Common vehicle classes include cars, trucks, buses, motorcycles, and bicycles. This information is valuable for understanding the composition of traffic and planning road infrastructure accordingly.

5. Data Reporting: The processed data is often presented in the form of reports, graphs, and statistics. Transportation authorities and planners can use this information to make decisions about road maintenance, traffic signal timing, lane management, and other related activities.

6. Real-time Monitoring: ATCC systems provide real-time monitoring capabilities, allowing transportation agencies to respond quickly to changing traffic conditions, accidents, and congestion.

7. Benefits: ATCC systems offer several benefits, including improved accuracy compared to manual data collection methods, reduced labor costs, enhanced traffic management, better road safety, and informed decision-making for infrastructure projects.

8. Challenges: ATCC systems are highly effective, they can face challenges such as inclement weather affecting sensor accuracy, maintenance requirements for sensors and cameras, and privacy concerns related to the collection of vehicle data.