Vehicle Collision Avoidance via Dynamic Data Sharing
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Solution Overview
Problem
Reduced visibility due to environmental factors and driver impairment lead to increased traffic accidents, highlighting the need for effective collision avoidance systems in vehicles.
Innovation Solution
A network of management modules in vehicles communicates dynamically and retrieves static information to detect potential collisions, enabling evasive actions through data communications and central database management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers rely on traditional visibility and judgment, then the system remains simple, but collision risk increases due to environmental factors and driver impairment
Solution Approach 1:
The patent introduces management modules as intermediary systems that mediate between vehicles and the central database manager. These modules collect vehicle information, communicate with other vehicles through a data communications network, and coordinate collision avoidance actions, thereby reducing direct complexity while improving reliability through systematic mediation
Solution Approach 2:
The patent replaces mechanical driver judgment and manual vehicle control with automated electronic systems. Management modules automatically collect vehicle data, detect potential collisions through algorithmic analysis, and control vehicle operations without requiring human intervention, substituting mechanical driver actions with electronic automation
2Measurement precision
If real-time dynamic information is shared among all vehicles, then collision detection accuracy improves, but data communication load increases
Solution Approach 1:
The patent implements local quality by establishing collision zones that group vehicles based on their spatial relationships and collision risks. Instead of all vehicles communicating with all other vehicles globally, only vehicles within the same collision zone exchange data, reducing communication overhead while maintaining detection accuracy for relevant vehicles
Solution Approach 2:
The patent segments the overall vehicle population into multiple collision zones, each managed independently by management modules. This segmentation divides the large-scale communication problem into smaller, manageable subsets, where each zone processes only the data necessary for its specific vehicles, reducing total communication energy requirements
3Reliability
If comprehensive vehicle information is collected and analyzed, then collision detection reliability improves, but information processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing collision zones and pre-organizing vehicle information before collisions occur. Management modules continuously monitor and update vehicle positions within zones, so when a potential collision risk emerges, the relevant information is already structured and ready for rapid analysis, reducing processing time while maintaining reliability
Data Source
AI summary
Collision avoidance among vehicles that each include a management module coupled to other management modules and a central database manager, includes: establishing, by management modules of a set of traveling vehicles having a location within a predefined area, a collision zone including a network of the management modules of the traveling vehicles; and sharing, within the collision zone, dynamic information describing the traveling vehicles; retrieving, from the central database manager, static information describing the traveling vehicles; detecting, by a management module of a first vehicle in the collision zone, a potential collision with a second vehicle in the collision zone in dependence upon the dynamic and static information; and controlling, by the management module of the first traveling vehicle, the first traveling vehicle to take evasive action in dependence upon the dynamic and static information describing the first and second traveling vehicle.