Bicycle Lane Improvement Priority Determination from Camera Images
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Solution Overview
Problem
Existing traffic state investigation systems do not provide data for improving bicycle lanes, despite the importance of such data for city planning and infrastructure development.
Innovation Solution
An improvement assistance apparatus and system that acquire camera images from roads to determine the traffic status of bicycles and prioritize improvements to bicycle lanes based on this data and the current improvement status of the lanes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traffic state investigation systems use cameras to monitor general traffic volume, then traffic data for city planning is obtained, but specific data for bicycle lane improvement is not provided
Solution Approach 1:
The system applies local quality by specifically extracting bicycle-related information from general traffic data. Instead of treating all traffic data uniformly, the system identifies and processes bicycle-specific features (bicycle detection, bicycle lane usage patterns) to generate specialized improvement data, thereby reducing information loss for bicycle lane planning while maintaining the versatility of the general traffic monitoring system
Solution Approach 2:
The system extracts bicycle-specific traffic information from general traffic camera data. By isolating and processing only the relevant bicycle-related data elements (bicycle detection results, lane usage patterns), the system produces dedicated improvement data for bicycle lanes without requiring a completely separate monitoring system, thus addressing the information gap while maintaining system versatility
2Reliability
If comprehensive traffic monitoring is implemented for all road users, then general traffic management is improved, but specific bicycle lane improvement priorities cannot be determined
Solution Approach 1:
The system introduces an intermediary processing layer that bridges general traffic monitoring and bicycle lane improvement planning. This intermediary component specifically processes camera data to extract bicycle-related metrics and generates improvement priority information, thereby maintaining reliable comprehensive monitoring while preventing loss of bicycle-specific improvement data through specialized data transformation
Solution Approach 2:
The system changes data parameters by transforming general traffic volume data into bicycle-specific improvement priority metrics. By reprocessing the same camera data with bicycle-focused detection algorithms and generating new parameter sets (bicycle lane improvement priorities), the system maintains monitoring reliability while recovering the previously lost bicycle-specific improvement information
Data Source
AI summary
A camera captures a road. A traffic status acquisition means of an improvement assistance apparatus acquires a camera image from the camera. The traffic status acquisition means acquires a traffic status of a bicycle from the camera image acquired from the camera. A determining means determines an improvement priority of a bicycle lane, based on the traffic status of the bicycle acquired by the traffic status acquisition means and an improvement status of a bicycle lane on the road.