Vehicle Hazard Avoidance System Using Segmented V2V Assessment
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Solution Overview
Problem
In high-speed, dynamic driving environments, vehicles face constantly changing hazards from nearby vehicles, requiring a real-time assessment system to predict potential short-term collision hazards within a predetermined distance.
Innovation Solution
A vehicle hazard avoidance system using computing devices that receive, analyze, and transmit hazard assessment information through vehicle-to-vehicle communication, generating hazard assessment tokens to provide ongoing, real-time collision hazard assessments to drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time hazard assessment is performed for all nearby vehicles, then collision hazard detection capability is improved, but system complexity and computational load increase
Solution Approach 1:
The system segments the hazard assessment process by dividing nearby vehicles into different hazard levels (first-level hazards requiring immediate attention, second-level hazards requiring monitoring). This segmentation allows the system to focus computational resources on the most critical hazards rather than treating all vehicles equally, thereby improving reliability for critical detections while reducing overall system complexity.
Solution Approach 2:
The system applies local quality by providing different assessment depths for different vehicles based on their hazard level. First-level hazardous vehicles receive comprehensive real-time analysis including multiple parameters (speed, distance, trajectory), while second-level vehicles receive less intensive monitoring. This differentiated approach optimizes the balance between detection capability and computational load.
2Measurement precision
If comprehensive hazard assessment information is collected and analyzed, then hazard detection accuracy is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating hazard levels and prioritizing vehicles before full analysis is required. Vehicles are initially classified based on basic parameters (distance, relative speed), and only those flagged as potential hazards undergo comprehensive analysis. This preliminary filtering reduces the volume of data requiring detailed processing while maintaining detection accuracy for critical cases.
Solution Approach 2:
The system applies partial action by collecting and analyzing only the essential parameters needed for hazard assessment rather than all possible vehicle data. For most vehicles, a subset of critical parameters (distance, speed, trajectory) is sufficient for accurate hazard detection, avoiding the time cost of processing excessive information while maintaining measurement precision for safety-critical decisions.
3Speed
If continuous monitoring of nearby vehicles is performed, then real-time hazard detection is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic action by monitoring vehicles at different frequencies based on their hazard level. First-level hazardous vehicles are monitored continuously with high-frequency updates, while second-level vehicles are monitored at lower frequencies. This periodic differentiation maintains real-time detection capability for critical hazards while significantly reducing overall energy consumption compared to uniform continuous monitoring of all vehicles.
Data Source
AI summary
A computing device for a vehicle hazard avoidance system. The device includes one or more processors for controlling operation of the computing device, and a memory storing computer-executable instructions which, when executed by the one or more processors, cause the computing device to receive hazard assessment information relating to a vehicle, perform an analysis of the hazard assessment information, and generate a hazard assessment based on the analysis.