Vehicle-Attribute Trip Time Measurement From Road Camera Images
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Solution Overview
Problem
Existing trip time surveys do not account for variations in trip time based on vehicle size and type, and existing technologies lack the capability to measure trip time for specific vehicle attributes.
Innovation Solution
A trip time measurement device that detects vehicles from road images, identifies attributes, and measures and outputs trip times for vehicles with different labels, enabling separate measurement and analysis of trip times for vehicles with distinct attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trip time is measured for all vehicles collectively, then the measurement system is simple, but the measurement precision for specific vehicle types is insufficient
Solution Approach 1:
The patent segments the vehicle population into different categories (large vehicles, small vehicles, buses, trucks, etc.) based on attributes detected from images. Instead of measuring trip time for all vehicles collectively, the system divides them into distinct groups and measures trip time for each segment separately, thereby achieving precise measurement for specific vehicle types while managing complexity through automated image-based classification
Solution Approach 2:
The system changes the measurement parameter from generic trip time to attribute-specific trip time by introducing vehicle classification parameters. By detecting vehicle attributes (size, type, category) from images and using these as segmentation parameters, the system transforms a single measurement approach into multiple targeted measurements, improving precision without proportionally increasing system complexity
2Measurement precision
If trip time is measured for each vehicle attribute separately, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent implements a universal measurement system that handles multiple vehicle attributes simultaneously. The image processing and vehicle classification module serves multiple functions: detecting vehicle presence, identifying vehicle attributes, categorizing vehicles into types, and assigning appropriate measurement parameters. This multi-functional approach allows the system to measure trip times for different vehicle attributes without requiring separate dedicated systems for each attribute, thereby improving measurement precision while controlling overall system complexity
3Measurement precision
If comprehensive vehicle attribute identification is implemented, then the measurement accuracy for different vehicle types improves, but the processing time increases
Solution Approach 1:
The system performs preliminary vehicle attribute identification and classification before trip time measurement begins. By detecting and categorizing vehicles in advance based on their images, the system establishes measurement groups ahead of time. This preliminary action allows the actual trip time measurement to proceed efficiently without repeated attribute analysis, thereby achieving high classification accuracy while minimizing the time loss during the measurement process
Data Source
AI summary
A measurement device according to an aspect of the present disclosure includes: at least one memory configured to store instructions: and at least one processor configured to execute the instructions to: detect vehicles traveling on a road from an image of the road captured by a camera; identify attributes of the detected vehicles and applying labels relevant to the attributes; measure a first trip time required for a vehicle having a first label, from among the identified vehicles, to travel a predetermined segment of the road; measure a second trip time required for a vehicle having a second label, from among the identified vehicles, to travel the predetermined segment; and output each of the first trip time and the second trip time.