Route Risk Index Calculation for Accident Probability Assessment
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Solution Overview
Problem
Current navigation systems fail to accurately determine and minimize the risk of accidents on driving routes, which is crucial for personal safety, insurance policies, and future automated driving applications.
Innovation Solution
A system comprising a memory device for storing static and dynamic route risk parameters, and a computer device to calculate a total risk index based on these parameters, which includes information relevant for road safety such as bend radius, weather conditions, traffic volume, and driver characteristics, allowing for the determination of a safer route by avoiding high-risk sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If navigation systems select the quickest route, then driving time is reduced, but the risk of accident increases
Solution Approach 1:
The system dynamically adjusts route recommendations by continuously evaluating real-time risk parameters (weather conditions, traffic volume, road geometry) and driver characteristics. The route selection is not static but adapts to changing conditions, allowing the system to balance driving time against accident risk based on current situational factors and driver profile.
Solution Approach 2:
The system changes the evaluation parameters from traditional navigation criteria (distance, time) to include multiple risk parameters such as weather conditions, traffic volume, road bend radius, gradient, and driver-specific factors. This parameter transformation enables the system to identify and recommend routes that minimize accident probability while considering driving time constraints.
2Measurement precision
If navigation systems consider multiple route criteria, then route selection accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the complex route evaluation into distinct modules: static route parameters (road geometry, infrastructure), dynamic route parameters (weather, traffic), and driver parameters (experience, behavior). Each segment is evaluated independently and then integrated through a risk calculation algorithm, making the overall complex system manageable and maintainable.
Solution Approach 2:
The system creates a universal risk assessment framework that can evaluate multiple route criteria simultaneously through a single integrated calculation model. The total risk index combines various parameters (weather, traffic, road geometry, driver characteristics) into one comprehensive metric, allowing the system to handle diverse evaluation criteria without proportionally increasing complexity.
Data Source
AI summary
Various embodiments include a system for determining a risk of an accident on a driving route comprising: a memory storing route risk parameters of the driving route, wherein at least one of the route risk parameters is assigned to route sections of the driving route, wherein each of the route risk parameters contains information relevant for road safety on the respective route section; and a processor in communication with the memory, programmed to determine a respective risk factor for each of the route risk parameters, wherein the respective risk factor indicates a measure of a risk of an accident on the respective assigned route section. The processor determines a total risk index of the driving route based on the respective risk factor of the respective risk parameter assigned to the respective route section, wherein the total risk index measures risk of an accident on the driving route.