Overhead Traffic Volume Estimation With Parked-Vehicle Filtering
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Solution Overview
Problem
Existing methods for estimating traffic volume using captured images inaccurately include parked vehicles, leading to incorrect estimations.
Innovation Solution
An information processing device that acquires images from above, determines parking areas using vehicle position and operation information, and identifies road areas to accurately extract traveling vehicles for volume estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicles are extracted from captured images to estimate traffic volume, then traffic volume estimation can be performed, but parked vehicles are erroneously extracted leading to inaccurate estimation
Solution Approach 1:
The system performs preliminary classification of vehicle states (moving vs. parked) using position information and operation information before extracting vehicles for traffic volume estimation. This preliminary action filters out parked vehicles from the extraction process, ensuring only moving vehicles are counted in the final traffic volume estimation.
2Measurement precision
If only captured images are used for traffic volume estimation, then the estimation process is simple, but the accuracy is insufficient due to inability to distinguish parked and moving vehicles
Solution Approach 1:
The system segments the vehicle population into distinct categories (moving vehicles and parked vehicles) based on position information and operation information. By dividing the vehicle set into these segments, the system can apply different processing rules to each segment, accurately identifying moving vehicles for traffic volume estimation while excluding parked vehicles.
Solution Approach 2:
The system introduces position information and operation information as intermediary data sources that bridge the gap between captured images and accurate traffic volume estimation. These intermediary data sources enable the system to distinguish vehicle states without requiring complex modifications to the image capture process itself.
3Reliability
If vehicle position information is continuously monitored to identify parking areas, then parking areas can be accurately determined, but data processing requirements increase
Solution Approach 1:
The system applies partial action by focusing position information processing only on vehicles that are potentially parked or stationary. Rather than processing all vehicle position data uniformly, the system selectively analyzes position information for vehicles showing parking characteristics, reducing overall data processing requirements while maintaining accurate parking area determination.
Data Source
AI summary
An information processing device, includes: a memory; and a processor coupled to the memory, wherein the processor is configured to: acquire a captured image, which is captured from above, of a region including a road area, position information for a vehicle that is positioned in the region, and operation information relating to an operation of the vehicle; use the position information and the operation information to determine a parking area in which the vehicle is parked; and use the parking area to identify the road area included in the captured image, extract vehicles present in the road area, and estimate a traffic volume in the road area.