Single Radar Antenna Red Light Violation Detection
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Solution Overview
Problem
Existing methods for monitoring traffic violations require multiple radar antennas, one for each lane, leading to increased investment and potential inaccuracies in detecting red light violations before the stop line, as they often incorrectly capture vehicles that have come to a stop or are not positioned correctly.
Innovation Solution
A method using a single radar antenna that directs radar radiation over all lanes, with impact points assigned their position relative to the stop line and vehicle speed, allowing for accurate prediction of red light violations and speed violations before the stop line, using the distance-time law and Doppler principle to trigger recordings only when a violation is certain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a radar antenna is required for each lane to detect traffic violations, then the detection coverage is sufficient, but the investment outlay increases with the number of lanes
Solution Approach 1:
A single radar antenna is designed to monitor multiple lanes simultaneously by directing radar radiation over all lanes and using a computing unit to process signals from multiple impact points, making the radar system universal across all lanes rather than requiring dedicated antennas for each lane
2Reliability
If the observation area is limited to a distance of 2 m including the stop line, then the red light violation detection is activated, but vehicles coming to a standstill in front of the stop line are also incorrectly detected
Solution Approach 1:
The system performs preliminary detection of vehicles in an extended observation area before they reach the stop line, using a computing unit to predict whether vehicles will actually violate the red light based on their current position, speed, and trajectory, rather than simply detecting any vehicle within a fixed distance threshold
Solution Approach 2:
The computing unit continuously receives radar signals, processes distance and speed information, and uses this feedback to update predictions about vehicle behavior, adjusting the activation decision based on real-time vehicle dynamics rather than static position thresholds
3Device complexity
If radar radiation is limited to one observation location with a low beam spread, then the detection is simple, but the observation area must be extended to avoid missing vehicles
Solution Approach 1:
The system transitions from monitoring a single point observation location to monitoring an extended observation area by utilizing angular dimension information, where the computing unit determines positions of multiple impact points relative to the radar antenna and processes signals from different spatial dimensions across multiple lanes
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate detection of red light and speed violations across multiple lanes with a single device, reducing installation costs and improving accuracy by predicting vehicle passage over the stop line and documenting violations only when certain, thus enhancing the efficiency and reliability of traffic monitoring.
Implementation Method 1
radar radiation is directed over or onto all lanes of interest of a roadway and impact points within an observation area are assigned their position in relation to the radar antenna
Implementation Method 2
using the distance-time law and Doppler principle to trigger recordings only when a violation is certain
Data Source
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AI summary
The method involves determining a relative position of stop lines (2) provided on lanes, and deriving a relative position of an impact point (P1), lying within an observation area, from radar signals. A vertical distance from the point to one line is determined from the relative positions, and is assigned to the point. Speed is derived from the radar signals and is assigned to the point. The line is closed at a time point of passing of a vehicle based on the speed and the distance. A camera is activated when this time point lies outside a green phase of traffic lights.