Road Stuck-Likelihood Evaluation Using Dynamic Probe Data Windows
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Solution Overview
Problem
Existing systems struggle to reliably evaluate the likelihood of a vehicle being stuck on a road due to insufficient probe information from vehicles, leading to incomplete or impossible evaluations.
Innovation Solution
An information processing apparatus that extends the evaluation period when the number of traveling vehicles is below a threshold, using probe information from vehicles and road surface conditions to ensure sufficient data for accurate evaluation, and outputs results within a predetermined time frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the evaluation period is extended to gather sufficient probe information, then the reliability of evaluation is improved, but the time required for evaluation increases
Solution Approach 1:
The evaluation period is made dynamic rather than fixed. The controller automatically extends or shortens the evaluation period based on the number of probe vehicles available in the target section. When sufficient vehicles are present, evaluation proceeds immediately; when insufficient, the period is extended automatically, allowing the system to adapt to real-time traffic conditions and data availability.
Solution Approach 2:
The system changes the time parameter (evaluation period duration) based on the quantity of available data (number of probe vehicles). By adjusting this parameter dynamically, the system ensures sufficient data for reliable evaluation while minimizing unnecessary delays when data is already adequate.
2Quantity of substance
If the evaluation period is extended beyond a certain limit, then more probe information can be gathered, but the productivity of the evaluation system decreases
Solution Approach 1:
The system applies partial extension of the evaluation period only when necessary (when vehicle count is below threshold), rather than always using a fixed long period. This partial action approach gathers sufficient data for reliable evaluation without excessively delaying the evaluation process, maintaining a balance between data quantity and evaluation speed.
3Productivity
If evaluation is performed with insufficient probe information, then the evaluation can be completed quickly, but the measurement precision deteriorates
Solution Approach 1:
The system uses feedback from the number of probe vehicles to control the evaluation process. The controller continuously monitors vehicle count and uses this feedback to decide whether to proceed with evaluation or extend the collection period, ensuring sufficient data quality and quantity for accurate results while maintaining efficient operation.
Data Source
AI summary
An information processing apparatus determines whether or not the number of traveling vehicles in an evaluation section in an evaluation period for evaluating a likelihood of being stuck exceeds a threshold. The information processing apparatus extends the evaluation period in a case where the number of the traveling vehicles is less than the threshold. Then, in a case where the number of the traveling vehicles exceeds the threshold, the information processing apparatus evaluates the likelihood of being stuck in the evaluation section in accordance with probe information when a plurality of the traveling vehicles is traveling in the evaluation section.