Road Traffic Information Server Congestion Exit Detection
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Solution Overview
Problem
Existing methods for generating road traffic information based on probe data may inaccurately estimate traffic congestion situations, leading to emotional stress for drivers, as they fail to consider actual road conditions, particularly when vehicle speed fluctuations are rapid.
Innovation Solution
A road traffic information server and system that estimate traffic congestion by analyzing time-series vehicle positions and speed data, using reference speeds to determine when a vehicle has likely exited or remains in congestion, thereby reducing discrepancies in congestion length estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the speed threshold method is used to detect traffic congestion exit, then the detection speed is improved, but the measurement precision deteriorates due to rapid speed fluctuations
Solution Approach 1:
The system performs preliminary speed verification by checking whether the vehicle speed remains below the second reference speed for a predetermined time period before confirming congestion exit. This preliminary action prevents premature detection of congestion exit due to transient speed fluctuations, thereby improving measurement precision without significantly compromising detection speed.
Solution Approach 2:
The system dynamically adjusts the congestion exit detection criteria by introducing a time-based verification mechanism. Instead of using a static speed threshold, the system evaluates speed patterns over time, adapting the detection logic to distinguish between temporary speed variations and genuine congestion exit conditions.
2Device complexity
If a single reference speed threshold is used, then the device complexity is reduced, but the reliability deteriorates due to false congestion exit detection
Solution Approach 1:
The system introduces a second reference speed parameter in addition to the first reference speed, creating a two-tier speed verification mechanism. This parameter change enables more reliable distinction between temporary slow-downs and genuine congestion exit, improving reliability while maintaining acceptable device complexity through straightforward comparative logic.
3Productivity
If the congestion exit is detected based on brief speed increase, then the productivity is improved, but the measurement precision deteriorates leading to underestimated congestion length
Solution Approach 1:
The system performs preliminary verification by monitoring whether vehicle speed remains below the second reference speed for a predetermined time period before confirming congestion exit. This preliminary action prevents premature termination of congestion detection, ensuring accurate congestion length measurement while maintaining efficient processing through time-bound verification.
Data Source
AI summary
Provided are a server and a system that are capable of generating road traffic information on traffic congestion in a more appropriate manner, considering actual road traffic conditions. If a vehicle speed V falls below a first reference speed V1 and then exceeds a second reference speed V2 (>V1), then a traffic congestion situation is estimated based on an inference that the vehicle is highly likely to have escaped from traffic congestion. To estimate a traffic congestion situation, it is required that a situation in which the vehicle speed V exceeds the second reference speed V2 continue for a second specified distance or more or for a second specified time T2 or more.


