Vehicle Track Optimization Using Risk-Aware Speed Profiles
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Solution Overview
Problem
Existing methods for generating vehicle tracks do not adequately consider energy, resource, and time efficiency while minimizing the risk of not passing a route portion, lacking sufficient accuracy in optimizing routes.
Innovation Solution
A method involving data collection and evaluation to generate an optimized track that considers energy, resource, and time efficiency, along with risk assessment, using a computer's CPU to calculate and adjust speed profiles for vehicles to minimize costs and risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If known methods for generating energy-efficient tracks are used, then energy and resource consumption are reduced, but the accuracy of route optimization is insufficient and risk of not passing the route is not minimized
Solution Approach 1:
The route is divided into multiple portions with different risk characteristics. The system segments the optimization problem by evaluating each portion separately, assigning different weights to energy efficiency and risk minimization based on the specific characteristics of each route segment. This allows high-accuracy optimization for critical segments while maintaining overall energy efficiency.
Solution Approach 2:
The system dynamically changes optimization parameters including risk weights, energy coefficients, and speed profile parameters based on real-time conditions and route characteristics. By adjusting these parameters for different route portions, the system achieves both energy efficiency and high optimization accuracy simultaneously.
2Loss of substance
If track optimization focuses on energy efficiency, then resource consumption is reduced, but time spent and risk assessment are not adequately considered
Solution Approach 1:
The system changes resource allocation parameters dynamically, adjusting the balance between energy-saving measures and risk mitigation strategies. For high-risk route portions, the system increases resource allocation to safety-critical functions while reducing optimization focus on energy saving, achieving both goals across the complete route.
Solution Approach 2:
The optimization system transitions from static energy-efficient tracks to dynamic tracks that adapt to real-time risk assessments. The system continuously monitors conditions and adjusts the track parameters including speed profiles and resource allocation to maintain both resource efficiency and reliability.
3Measurement precision
If multiple evaluation criteria are incorporated into track generation, then comprehensive optimization is achieved, but computational complexity and processing time increase
Solution Approach 1:
The computational problem is segmented into independent evaluation modules for different criteria (energy, risk, time, resource efficiency). Each module processes specific aspects separately, allowing parallel computation and reducing overall complexity while maintaining comprehensive evaluation accuracy.
Solution Approach 2:
Different levels of computational precision are applied to different evaluation criteria based on their importance and data availability. High-computation methods are used for critical risk assessments while simpler methods handle less critical parameters, optimizing the balance between accuracy and computational load.
Data Source
AI summary
The proposed invention relates to methods for controlling a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the proposed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an optimized track for a motor vehicle that provides a speed profile for a portion of the route, ensuring preferable energy and resource consumption, and time spent by the motor vehicle to pass the portion of the route, as well as minimizing the risk of not passing the portion of the route.