Solution Category: Traffic Control and Management

An Integrated Control and Command Center (ICCC), often referred to simply as a Command Center or Control Center, is a centralized facility where various systems, operations, and data are monitored, managed, and coordinated. These centers are commonly used in a variety of applications, including public safety, emergency management, transportation, and critical infrastructure monitoring.

Solution Overview

YASHRETAIL’s ICCC solution provides central platform for traffic operation, control and management, surveillance, traffic enforcement and disaster management. ICCC Solution includes portal and mobile application, cloud-based solution.
OUR ICCC Software dashboard solution

• Adaptive Traffic Control and Management Application
• Red Light Violation Detection Application
• Speed Violation Detection Application
• Adaptive Pedestrian Crossing Application
• Video Incident Detection Application
• E-challan Application
• Utility Management Application
• Smart Street Lighting Application
• Video Management System Application
• Variable Message Sign Application
• Emergency Call box (ECB) Application
• Public Address System (PAS)

Here are some key features and functions of ICCC:

1. Centralized Monitoring: An ICCC serves as a central hub for monitoring and managing a wide range of systems and processes. This can include surveillance cameras, sensors, alarms, and communication systems.

2. Data Integration: It integrates data from various sources and systems, allowing operators to have a comprehensive view of the situation. This can include data from traffic sensors, weather monitoring, security cameras, and more.

3. Real-Time Information: An ICCC provides real-time information and situational awareness, allowing operators to make informed decisions quickly. For example, in a transportation context, it can monitor traffic conditions and respond to accidents or congestion in real-time.

4. Emergency Response: In emergency management, an ICCC plays a crucial role in coordinating responses to disasters, accidents, or security incidents. It can be used to deploy resources, manage evacuations, and communicate with first responders.

5. Security: It is used for security purposes, such as monitoring access control systems, fire alarms, and intrusion detection systems. Security personnel can respond promptly to incidents detected through these systems.

6. Resource Management: ICCCs often include tools for resource allocation and management. For instance, in a transportation context, it can optimize the deployment of traffic control personnel or emergency services.

7. Communication Hub: It serves as a central communication hub, allowing operators to communicate with field personnel, emergency services, and other relevant parties.

8. Data Analysis: ICCCs often have data analysis capabilities, helping operators identify patterns, trends, and anomalies in the data. This can be valuable for long-term planning and decision-making.

9. Customization: These centers can be customized to meet the specific needs of the organization or agency using them. The systems integrated into the ICCC depend on the industry and the operational requirements.

10. Redundancy and Resilience: Critical infrastructure ICCC systems are designed with redundancy and resilience in mind to ensure continuous operations even in the face of technical failures or disasters.

ICCCs are widely used in public safety, transportation management, energy distribution, and various other sectors where real-time monitoring, data integration, and rapid decision-making are essential. They help organizations respond more effectively to events and manage their resources efficiently, ultimately contributing to improved safety and operational efficiency.

A Smart Variable Message Sign (VMS), also known as a Dynamic Message Sign (DMS) or Electronic Message Sign, is a digital traffic sign that displays real-time information to drivers on the road. These signs are used to convey important messages, warnings, and traffic information to help manage traffic flow, improve safety, and provide drivers with up-to-date information.

Here are some key features and functions of Smart Variable Message Signs:

1. Real-Time Traffic Information: VMS signs can display real-time traffic information such as traffic congestion, accidents, road closures, and alternate routes. This helps drivers make informed decisions about their routes.

2. Weather Alerts: They can display weather-related messages, such as warnings about fog, ice, or heavy rain, which can affect driving conditions.

3. Amber Alerts: VMS signs can be used to display Amber Alerts, which are emergency messages about missing children.

4. Speed Limits: These signs can change speed limits based on traffic conditions. For example, they can reduce the speed limit during heavy traffic or adverse weather.

5. Lane Management: VMS signs can indicate lane closures, lane shifts, or other changes in road configuration, helping drivers navigate safely through construction zones.

6. Emergency Messages: In the case of emergencies, such as accidents or hazardous materials spills, VMS signs can display emergency messages to direct traffic away from the affected area.

7. Public Service Announcements: They can be used to display public service announcements, such as information about upcoming events, road safety reminders, or public health messages.

8. Variable Message Sequencing: VMS signs can be programmed to display a sequence of messages, guiding drivers through a series of instructions or warnings.

9. Remote Control: Many modern VMS signs can be remotely controlled and updated, allowing transportation authorities to change messages in real-time from a central location.

10. Integration with Traffic Management Systems: Smart VMS signs are often part of larger traffic management systems that use data from sensors, cameras, and traffic monitoring systems to provide accurate and timely information to drivers.

These signs are an essential tool for traffic management and safety on highways, urban streets, and at major events. They help reduce congestion improve traffic flow, and enhance road safety by providing drivers with the information they need to make safe and efficient decisions while on the road.

A Video Incident Detection System is a technology solution designed to automatically detect and alert users to unusual or potentially critical events that occur within video footage. These systems are commonly used for security and surveillance purposes, but they can also find applications in various other domains like traffic management, industrial monitoring, and even in sports analysis.

Overall, video incident detection systems play a crucial role in enhancing safety and security by automating the monitoring and detection of critical events within video streams, reducing the reliance on human operators and enabling quicker response times to potential incidents.

Solution Overview

YASHRETAIL’s VID solution is a video based Automatic Incident Detection System designed to automatically detect and alter users to unusual or potentially critical events that occur within the video footage. Our VIDS can detect and alter different events

• Wrong direction driving vehicle
• Stalled/Stopped Vehicle
• Weather condition- fog, smoke, sun, rain and thunderstorm.
• Pedestrian Crossing
• Crowd gathering
• No Helmets
• Triple Riding
• No Seat belts
• Traffic Congestion

Salient Features

• A complete IP based Video Surveillance
• Automatic detection of traffic flow, congestion, and density.
• Cover up to multiple lanes of traffic
• Capable to detect
• Triple riding on two-wheeler
• Wrong lane driving, Wrong direction driving
• No Helmets
• No Seat belts
• Real time video analysis
• Easy validation of traffic data
• Easy integration with third party software.

Here’s an overview of how such a system typically works:

1. Video Input: The system begins by receiving video input from one or more cameras. These cameras can be stationary or mobile, and they capture live or recorded video footage.

2. Preprocessing: The incoming video data may undergo preprocessing, which involves tasks like image stabilization, noise reduction, and color correction. This step helps ensure the quality and consistency of the video feed.

3. Object Detection and Tracking: One of the primary functions of an incident detection system is to identify and track objects within the video frames. Advanced computer vision algorithms are employed for object detection and tracking. This could include identifying people, vehicles, animals, or any other objects of interest.

4. Behavior Analysis: The system analyzes the behavior of the detected objects to identify potential incidents. For example, it might look for sudden acceleration or deceleration of vehicles, unusual pedestrian movements, or unexpected changes in an industrial process.

5. Rule-Based or Machine Learning Algorithms: Incident detection systems often employ rule-based algorithms or machine learning models to determine if a detected event qualifies as an incident. Rule-based systems rely on predefined criteria, while machine learning models can be trained to recognize specific patterns of behavior.

6. Incident Classification: Once an incident is detected, the system can classify it into various categories based on the nature of the event. For instance, in a security application, incidents might include intrusion, theft, or vandalism.

7. Alerting and Notification: When an incident is detected and classified, the system generates alerts or notifications. These alerts can be sent to human operators, security personnel, or automated response systems. Alerts may include real-time video feeds of the incident for immediate assessment.

8. Data Logging and Storage: Incidents and their associated video footage are often logged and stored for later review and analysis. This historical data can be valuable for investigations, reporting, and improving the system’s performance over time.

9. Integration: Many video incident detection systems are integrated with other security or automation systems. For example, they may trigger alarms, activate lighting or sirens, or even initiate automated responses like locking doors or shutting down machinery in industrial settings.

10. User Interface: Users can typically access the system through a user-friendly interface, which allows them to configure system settings, review alerts, and access recorded video footage.

11. Continuous Improvement: Video incident detection systems often include mechanisms for continuous improvement. Machine learning models can be retrained with new data to enhance their accuracy in detecting incidents.

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.