Vehicle Intersection Collision Avoidance via GPS Data Comparison
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Solution Overview
Problem
Inter-vehicle collisions at intersections remain a significant road safety issue due to driver violations, and existing collision avoidance systems are not widely implemented across all vehicles.
Innovation Solution
A system comprising sub-systems in each vehicle that continuously receive and compare navigation data to determine approaching intersections, with one vehicle forcibly activating brakes if necessary to prevent collisions, and optionally providing warning signals to drivers based on time thresholds and traffic rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision avoidance systems are installed on autopilot-equipped vehicles, then inter-vehicle collisions at intersections can be prevented, but these systems are not mass-produced and only available on certain manufacturers' models
Solution Approach 1:
The patent implements a universal collision avoidance system that can be installed on any vehicle regardless of manufacturer or model. The system uses standard GPS receivers, processors, and communication interfaces that are compatible across different vehicle types, making the collision prevention technology universally applicable rather than limited to specific autopilot-equipped models
2Reliability
If the system forcibly activates brakes to prevent collision, then inter-vehicle collisions are prevented, but the driver may not be notified and the action may be unexpected
Solution Approach 1:
The system issues a warning signal to the driver before forcibly activating the brakes. This preliminary notification gives the driver an opportunity to respond voluntarily, and only if the driver does not react within a specified time does the system proceed to automatic brake activation, ensuring both collision prevention and driver awareness
Solution Approach 2:
The system provides feedback to the driver through warning signals (visual, auditory, or haptic) before taking automatic action. This feedback loop maintains driver awareness and allows the driver to override or supplement the automated response, combining machine reliability with human control
3Measurement precision
If the system continuously receives and compares navigation data from multiple vehicles, then accurate collision prediction is achieved, but data transmission and processing requirements increase
Solution Approach 1:
The system extracts only the essential collision-relevant data from navigation information, specifically GPS coordinates and predicted position at intersection points. By focusing on these critical parameters rather than processing complete navigation datasets, the system achieves accurate collision prediction while minimizing data transmission and processing requirements
Data Source
AI summary
A system and method are provided, which allow avoiding inter-vehicle collisions at intersections. The system comprises a first sub-system mounted in a first vehicle and a second sub-system mounted in a second vehicle. Each of the sub-systems continuously receives navigation data with geographical coordinates of the corresponding vehicle after a threshold time period to determine that there is an intersection ahead. The first sub-system continuously broadcasts the navigation data of the first vehicle. The second sub-system continuously receives the broadcast navigation data and continuously compares the navigation data of the vehicles. If they are coincident, the second sub-system determines which of the vehicles must give way at the intersection based on traffic rules. If it is the second vehicle, the second sub-system notifies the first sub-system that it will take a collision avoidance action.