Vehicle Road State Detection Using Acceleration and Shaft Output
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Solution Overview
Problem
Current systems lack the capability to accurately determine the state of roads based on real-time data from vehicles, particularly in terms of load, surface conditions, and visibility, which hinders effective navigation and road maintenance planning.
Innovation Solution
An information system that collects data from vehicles, including position, speed, acceleration, shaft output, and temperature, to determine road states such as high load, rough, poor view, and poor view and blind spots, and transmits this information to navigation systems and management systems for display and repair planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road state determination is performed using multiple parameters (shaft output, acceleration, position), then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the road state determination into multiple independent evaluation dimensions (shaft output evaluation, acceleration evaluation, position evaluation) that are processed separately and then integrated. This allows complex multi-parameter analysis to be broken down into manageable modular components, improving measurement precision while controlling system complexity through structured segmentation.
Solution Approach 2:
The determination unit serves multiple functions by evaluating different road states (rough roads, steep slopes, low friction surfaces, blind spots) using the same multi-parameter framework. This universal approach allows a single system to handle diverse road condition assessments, improving measurement precision across various scenarios while avoiding the need for separate specialized systems for each road type.
2Reliability
If data is collected from multiple vehicles, then reliability of road state assessment is improved, but loss of information increases due to data transmission requirements
Solution Approach 1:
The system merges data from multiple vehicles by having the determination unit aggregate shaft output, acceleration, and position information from different vehicles traveling on the same road sections. This consolidation improves reliability through multi-vehicle verification while reducing information loss by combining data streams into unified road state assessments rather than transmitting redundant individual vehicle data.
Solution Approach 2:
Instead of transmitting raw data from multiple vehicles, the system creates consolidated copies of road state assessments that represent aggregated information from multiple sources. The determination unit generates unified road state data that captures the essential information from multiple vehicles without requiring continuous transmission of all original data streams, thus improving reliability while minimizing information loss.
Data Source
AI summary
A system comprises an acceleration information acquisition unit configured to acquire information indicating an acceleration of a vehicle; a shaft output information acquisition unit configured to acquire information indicating a shaft output of a rotating electrical machine; a position information acquisition unit configured to acquire information indicating a position of the vehicle; and a determination unit configured to determine a state of a road on which the vehicle has run, based on the acceleration of the vehicle, the shaft output, and the position of the vehicle. A method comprises acquiring information indicating an acceleration of a vehicle; acquiring information indicating a shaft output of a rotating electrical machine; acquiring information indicating a position of the vehicle; and determining a state of a road on which the vehicle has run, based on the acceleration of the vehicle, the shaft output, and the position of the vehicle.