Intelligent Roadside Unit Dual Camera Traffic Flow Regulation
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Solution Overview
Problem
Conventional intelligent road side units have a poor regulation capability at intersections with heavy traffic flow, as they rely primarily on current traffic flow information without considering anticipated traffic flow.
Innovation Solution
The intelligent road side unit employs two cameras with different focal lengths to acquire traffic flow information both in the distance and vicinity, allowing the controller to adjust traffic lights based on both current and anticipated traffic flow, thereby enhancing regulation capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only current traffic flow information is used for traffic light control, then the system is simple to operate, but the regulation capability at intersections with heavy traffic flow is poor
Solution Approach 1:
The system performs preliminary action by capturing images of approaching vehicles in advance using the first camera before they reach the intersection. The controller processes these images to predict anticipated traffic flow, allowing the traffic light control to be prepared ahead of time, improving regulation capability without adding excessive complexity
Solution Approach 2:
The system segments the traffic flow detection into two distinct parts: current traffic flow detection using the second camera for vehicles at the intersection, and anticipated traffic flow detection using the first camera for approaching vehicles. This segmentation allows each camera to specialize in specific detection tasks, improving overall regulation capability while maintaining manageable system complexity
2Reliability
If two cameras with different focal lengths are added to capture both distant and nearby traffic flow, then the regulation capability is improved, but the device complexity increases
Solution Approach 1:
The system applies local quality by assigning different focal length characteristics to different cameras based on their specific detection needs. The first camera uses a longer focal length optimized for detecting distant approaching vehicles, while the second camera uses a shorter focal length optimized for detecting vehicles at the intersection. This localized optimization of camera properties improves regulation capability without requiring a uniform upgrade of all system components
Solution Approach 2:
Both cameras serve multiple functions: they not only detect traffic flow for control decisions but also provide spatial awareness of the intersection environment. The system integrates information from both cameras to make comprehensive control decisions, making the added hardware investment worthwhile by extracting multiple benefits from each camera
3Measurement precision
If traffic lights are controlled based on both current and anticipated traffic flow, then the regulation accuracy is improved, but the processing complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring both current and anticipated traffic flow and using this information to dynamically adjust traffic light control decisions. The controller processes image data from both cameras, compares it with control rules, and adjusts green light time periods accordingly, improving regulation accuracy through continuous feedback while keeping processing complexity manageable through rule-based decision logic
Data Source
AI summary
The present disclosure proposes an intelligent road side unit and a regulation method thereof. The intelligent road side unit comprises: traffic lights; a first camera configured to acquire a first image and having a first focal length; a second camera configured to acquire a second image and having a second focal length, the first focal length being greater than the second focal length; and a controller, configured to acquire anticipated arriving traffic flow information according to the first image, to acquire current traffic flow information according to the second image, and to control the traffic lights according to the anticipated arriving traffic flow information and the current traffic flow information.