Dynamic Reference Speed Update for Accurate Traffic State Sensing
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Solution Overview
Problem
Current navigation systems fail to accurately assess traveling states due to fixed reference speeds, which do not account for varying road conditions, and are primarily used for frequently traveled paths during rush hour, lacking information on unusual travel times.
Innovation Solution
A method and system that calculate a mean speed for each link of a frequently used path, updating the reference speed based on this data, and sharing this information between user terminals to provide more accurate traffic information without pre-acquiring road conditions, allowing for dynamic assessment of traveling states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed reference speed is used to determine traveling state, then the system is simple to operate, but the measurement precision of traveling state is poor because road conditions are not considered
Solution Approach 1:
The system pre-acquires road condition data (signal systems, road surfaces, traffic networks) for frequently traversed paths and stores them as reference data before actual travel. This preliminary action enables accurate traveling state assessment without requiring complex real-time analysis of all road factors.
Solution Approach 2:
The reference speed is dynamically updated based on actual travel data collected from multiple users. The system calculates mean speeds for each link and updates the reference speed accordingly, making the system adaptive to changing road conditions while maintaining operational simplicity.
2Measurement precision
If reference speed is updated based on mean speed from multiple traversals, then the measurement precision of traveling state improves, but the loss of time increases due to multiple measurements required
Solution Approach 1:
The system combines travel data from multiple users and multiple traversals to calculate mean speed for each link. By merging data from different sources, the system achieves high measurement precision without requiring a single user to make numerous repeated measurements, thus reducing time loss.
Solution Approach 2:
The system implements feedback by continuously collecting actual travel speeds, comparing them with reference speeds, and updating the reference speed based on the mean of collected data. This feedback mechanism improves accuracy over time while distributing the measurement burden across multiple users.
3Measurement precision
If traffic information is shared between user terminals, then the measurement precision of traveling state improves for unfamiliar paths, but the device complexity increases due to data communication requirements
Solution Approach 1:
The server provides universal service to multiple user terminals by storing and distributing reference speed data and road condition information. This multi-functional approach allows any user to benefit from collective data without each individual terminal needing complex data collection and processing capabilities.
Solution Approach 2:
The system introduces a server as an intermediary between user terminals. The server collects, processes, and distributes traffic information, simplifying the architecture compared to direct peer-to-peer communication while enabling accurate traffic information sharing for both familiar and unfamiliar paths.
4Productivity
If the system focuses on frequently used paths during rush hour, then the productivity of traffic information provision is high, but the adaptability to different paths and conditions deteriorates
Solution Approach 1:
The system dynamically adapts to different paths by updating reference speeds based on actual travel data collected from various routes and time periods. This enables the system to maintain high productivity for frequently used paths while gradually expanding adaptability to less common paths as data becomes available.
Solution Approach 2:
The system pre-acquires road condition data for different path types and uses this preliminary information to provide initial traffic information for unfamiliar paths. This preliminary action enables the system to serve both high-traffic familiar paths and low-traffic unfamiliar paths effectively.
Data Source
AI summary
Disclosed is a method for sensing a traveling state based on a speed. The method for sensing the traveling state based on the speed includes outputting a mean speed C for each link with respect to a number of total traversing times of a predetermined path, and updating a reference speed B with the outputted mean speed C, and measuring a speed A while traversing the predetermined path, and comparing the measured speed A with the updated reference speed B, thereby displaying the traveling state.