License Plate Traffic Analysis for Real-Time Signal Control

The patent replaces manual traffic surveys with an automated system using cameras, processors, and servers to capture and analyze traffic data. The mechanical/manual process of human surveyors is substituted with electronic image capture devices and automated image processing algorithms that can identify vehicles, count traffic flow, and analyze patterns without human intervention.

The system enables self-service by automatically capturing traffic data through cameras, processing images through algorithms, and generating traffic analysis reports without requiring human surveyors. The automated pipeline processes images, identifies vehicles, counts traffic, and produces analytics independently, eliminating the need for human resources in data collection.

The patent implements continuous traffic monitoring through cameras that continuously capture images of traffic flow. The system processes images in real-time through automated pipelines, continuously updating traffic counts and analysis without interruption. This continuous operation enables real-time monitoring of traffic patterns and immediate detection of changes or anomalies.

The system replaces sporadic manual surveys with continuous automated electronic monitoring. Cameras continuously capture traffic data, and automated processing systems immediately analyze the data, enabling real-time monitoring capabilities that were impossible with manual methods.

The patent segments traffic data analysis into multiple levels: basic vehicle counting, vehicle classification by type, and detailed pattern analysis. The system processes individual vehicle images to extract specific characteristics, then aggregates this detailed information into comprehensive traffic patterns. This segmentation enables both quantity measurement and precise vehicle-specific information retention.

The system adds dimensional depth to traffic data by transitioning from simple counts to multi-dimensional analysis including vehicle type classification, traffic flow patterns, temporal patterns, and spatial distribution. This dimensional expansion preserves vehicle-specific information while providing comprehensive traffic pattern analysis.

The patent creates a universal traffic data collection and analysis system that can interface with multiple traffic management applications. The system provides standardized data outputs and analysis capabilities that can be integrated with traffic signal control, route optimization, incident management, and planning systems. This multi-functional design enables seamless integration with various traffic management systems while maintaining independent data collection capabilities.

The system implements feedback loops where traffic analysis results are used to adjust traffic management controls in real-time. The automated analysis of traffic patterns feeds back to traffic signal timing adjustments, route recommendations, and incident response protocols, creating a closed-loop system where data collection directly informs and adapts traffic control measures.