Sensor Placement Determination Using Traffic Simulation Error Minimization
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Solution Overview
Problem
Existing technologies do not effectively determine the optimal placement of sensors, such as cameras, for accurate traffic measurement, as they focus on other functions like motion detection and face recognition, and do not specifically address the accuracy of traffic measurement.
Innovation Solution
A sensor placement determination device that includes storage for traffic data, traffic simulation to generate observation information, traffic estimation to create candidate paths, estimated error calculation to compare observed and actual traffic data, and sensor position determination to select the placement position with minimal error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If sensors are placed to cover large areas, then the monitoring coverage is improved, but the measurement precision of traffic decreases
Solution Approach 1:
The patent segments the target area into multiple regions and places sensors at specific positions within each region. Instead of using few sensors to cover the entire area, the system divides the space and uses multiple sensors to cover each segment, thereby maintaining both wide coverage and high measurement precision for traffic in each segment.
Solution Approach 2:
The patent applies local quality by optimizing sensor placement for specific local conditions rather than uniform coverage. Sensors are positioned at locations that provide optimal viewing angles and coverage for specific traffic patterns in different areas, ensuring high measurement precision locally while collectively achieving comprehensive coverage.
2Measurement precision
If the number of sensors is increased, then the measurement precision of traffic is improved, but the equipment cost increases
Solution Approach 1:
The patent performs preliminary action by using simulation technology to predict and evaluate sensor placement effectiveness before actual deployment. The simulation system evaluates candidate placement positions and selects optimal locations that achieve required measurement precision with the minimum number of sensors, avoiding unnecessary equipment costs.
Solution Approach 2:
The patent uses simulation as a virtual copy of the physical sensor system to evaluate placement effectiveness. Instead of physically deploying sensors to test each position, the system creates virtual sensor models and simulates their performance, allowing optimization of sensor count and placement without incurring actual equipment costs for testing.
3Measurement precision
If sensors are placed to capture detailed traffic paths, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine optimal sensor placement positions without requiring complex manual configuration. The simulation-based evaluation system autonomously analyzes candidate positions, calculates measurement precision, and selects optimal placements, reducing the complexity of the deployment process.
Solution Approach 2:
The patent uses parameter changes by evaluating sensor placement based on quantifiable parameters such as viewing angle, coverage area, and estimated measurement precision. The system changes and adjusts these parameters systematically to identify optimal placement positions, transforming a complex qualitative problem into a manageable quantitative optimization process.
Data Source
AI summary
This sensor placement determination device is provided with an external storage device (15) in which traffic data, i.e. the actual paths taken by people, is recorded in a planned target area in which sensors are to be arranged, a traffic simulation observation unit (100) which, for candidate arrangement positions of the sensors in the target area, generates, on the basis of the traffic data, information about the passage of people through the monitoring area of the sensors, a traffic estimation unit (102) which, with the passage information as a constraining condition, generates candidate paths by which people might pass through the target area, an estimated error calculation unit (104) which, for the traffic through the monitoring area of the sensors, calculates an estimated error between the number of people passing along the candidate paths and the number of people passing along the actual paths, and an additional camera determination unit (106) which determines a sensor arrangement position that minimizes the calculated estimated traffic error.