Dynamic Risk Distribution for Vehicle Running Plans
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Solution Overview
Problem
Conventional running plan creating apparatuses fail to accurately assess the risk of other vehicles on the road, neglecting kinetic energies, unstableness, and blind spots, resulting in suboptimal safety of the created running tracks.
Innovation Solution
A running plan creating apparatus that acquires and analyzes position and speed data of other vehicles, estimates their kinetic energies and relative relationships, and sets a risk distribution along the running path to create a safer route by avoiding high-risk areas and vehicles with higher kinetic energies or shorter headway times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed degree of risk is assigned to obstacle areas and blind spots, then the risk assessment is simple and quick, but it fails to account for kinetic energies and unstableness of other vehicles, resulting in insufficient safety
Solution Approach 1:
The patent changes the risk assessment parameters from fixed values to dynamic values that consider kinetic energy (mass and speed), unstableness, and blind spot areas of other vehicles. The risk degree is calculated as a function of these parameters rather than using a constant value, allowing the system to adapt to different vehicle characteristics and situations.
Solution Approach 2:
The system performs preliminary assessment of other vehicles' characteristics (mass, speed, unstableness, blind spots) before calculating the risk degree. This advance evaluation allows the running plan to be created with pre-computed risk information, improving both safety and computational efficiency.
2Reliability
If the running plan avoids all areas with obstacles and blind spots, then the safety is improved, but the running path becomes restricted and may not reach the destination efficiently
Solution Approach 1:
The patent applies different risk degrees to different locations based on local conditions. Instead of uniformly avoiding all obstacle areas, the system calculates specific risk degrees for each area considering the presence, characteristics, and movement of individual vehicles. This allows the running plan to navigate through low-risk areas while avoiding high-risk zones, optimizing both safety and path efficiency.
Solution Approach 2:
The risk degree distribution is dynamically updated based on the predicted positions and characteristics of other vehicles. The system continuously recalculates risk degrees as vehicles move, allowing the running plan to adapt to changing conditions and find optimal paths that balance safety and efficiency in real-time.
3Measurement precision
If the system considers kinetic energy and unstableness of other vehicles in risk assessment, then the accuracy of risk evaluation is improved, but the computational load increases
Solution Approach 1:
The system pre-calculates and stores characteristic information of other vehicles (mass, unstableness factors, blind spot areas) before risk assessment. This preliminary preparation reduces the computational burden during real-time risk evaluation, as these parameters are readily available when calculating risk degrees.
Solution Approach 2:
The patent transforms complex vehicle characteristics into simplified risk parameters that can be efficiently computed. By changing the representation of vehicle properties into standardized risk-contributing parameters, the system achieves accurate risk evaluation with reduced computational complexity.
Data Source
AI summary
A running plan creating apparatus for creating a running plan including position information of a vehicle at each time comprises road information acquiring means for acquiring road information concerning a running path for the vehicle to run, action predicting means for predicting positions and speeds of other vehicles running about the vehicle at each time by utilizing the road information, characteristic information acquiring means for acquiring characteristic information in each of the other vehicles, risk degree estimating means for estimating respective degrees of risk of the other vehicles by utilizing the characteristic information, risk degree distribution setting means for setting a risk degree distribution at each time on the running path by utilizing the road information and the positions and degrees of risk of the other vehicles, and running plan creating means for creating the running plan of the vehicle by utilizing the risk degree distribution.