Adaptive Traffic Zone Creation Using Smart Cameras
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Solution Overview
Problem
Current traffic control systems at intersections are costly and require error-prone manual operation for creating detection zones, lacking an efficient mechanism for adaptive traffic management.
Innovation Solution
A method and system for dynamically creating and managing detection zones using smart traffic cameras and a traffic controller with processors and computer-readable instructions to receive, validate, and apply traffic data for adaptive traffic control, enabling automated zone creation and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operation is used to create detection zones at intersections, then users can control traffic management, but the process becomes cumbersome and error-prone
Solution Approach 1:
The system performs self-service by automatically creating detection zones using processors that analyze traffic data and generate zone configurations without requiring manual user input. The traffic controller autonomously identifies optimal zone parameters, boundaries, and detection regions based on real-time traffic patterns, eliminating the cumbersome manual operation while maintaining high accuracy through algorithmic analysis.
2Reliability
If video detection systems are installed at every intersection, then traffic can be monitored effectively, but the cost increases significantly
Solution Approach 1:
The patent makes existing smart traffic cameras multi-functional by enabling them to perform both their primary traffic surveillance function and secondary zone detection function. The same camera hardware is used for both general traffic monitoring and specific detection zone analysis, eliminating the need for separate dedicated detection systems at every intersection while maintaining effective traffic monitoring coverage.
3Adaptability or versatility
If existing video detection systems are used, then traffic data can be captured, but the systems lack adaptive management capabilities for different traffic conditions
Solution Approach 1:
The system implements dynamics by continuously adapting detection zone parameters based on real-time traffic conditions. The processors analyze incoming traffic data and dynamically adjust zone boundaries, detection sensitivity, and validation criteria to match current traffic patterns. This allows the system to adapt to varying traffic conditions (peak hours, off-peak hours, special events) while the automated processing keeps the operational complexity manageable.
Data Source
AI summary
A traffic control system and a method of automatic zone creation for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. In one aspect of the present disclosure, a method includes receiving traffic data at an intersection; creating zones at the intersection to be applied to one or more smart traffic cameras installed at the intersection; determining whether the zones are to be validated; validating the zones upon determining that the zones are to be validated; and applying the validated zones to the one or more smart traffic cameras at the intersection.