Vehicle Animal Encounter Warning System Using Real-Time Database Queries
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Solution Overview
Problem
Conventional animal warning signs on roads do not account for seasonal variations and animal behavior patterns, such as hibernation, which limits their effectiveness in alerting drivers to the actual likelihood of animal encounters.
Innovation Solution
A vehicle-based system that uses sensors and real-time data access from databases to determine the likelihood of animal encounters, displaying warnings on a user interface based on this data, including information about animal behavior and seasonal patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional animal warning signs are positioned on sides of roads, then drivers are generally aware of the possibility of encountering animals, but the warning effectiveness is insufficient when the probability of encountering animals is high
Solution Approach 1:
The system performs preliminary actions by detecting animal warning signs ahead of time and proactively querying database information about animal behavior patterns, seasonal variations, and historical encounter data before the driver reaches the high-risk zone. This allows the system to prepare and display relevant probability information in advance, enhancing warning effectiveness rather than reacting after an encounter occurs.
Solution Approach 2:
The patent introduces a database as an intermediary between the static warning sign and the driver. The database stores and provides access to dynamic information about animal behavior patterns, seasonal variations, and encounter probabilities. This intermediary transforms the static sign into a dynamic information source by mediating between the sign detection and the driver's awareness, delivering contextualized probability data that enhances warning reliability.
2Loss of time
If animal warning signs provide general awareness only, then the system remains simple, but it fails to provide timely warnings when animals are more likely to be proximate
Solution Approach 1:
The system achieves multi-functionality by combining several functions into a single integrated platform: detecting animal warning signs, querying database information about animal behavior and seasonal patterns, calculating encounter probabilities, and displaying contextualized warnings. This universal system replaces multiple separate functions (static signs, separate databases, probability calculation systems) with one cohesive system that reduces overall response time while managing complexity through integration.
Solution Approach 2:
The system implements self-service by automatically detecting warning signs, autonomously querying the database for relevant animal behavior data, and independently generating and displaying contextualized probability warnings without requiring manual intervention. This self-service capability reduces response time by eliminating human processing steps while the automated architecture manages system complexity through programmed workflows.
3Adaptability or versatility
If static warning signs are used, then manufacturing and deployment are simple, but they cannot adapt to seasonal variations and animal behavior patterns
Solution Approach 1:
The system transforms the static warning sign into a dynamic system that adapts to seasonal variations and animal behavior patterns. By integrating real-time database queries about animal behavior, migration patterns, and seasonal activity, the system dynamically adjusts warning information based on current conditions. This dynamic adaptation enhances versatility while the modular architecture manages implementation complexity through standardized interfaces.
Solution Approach 2:
The system implements parameter changes by varying the warning information displayed based on multiple parameters including season, time of day, animal species, and historical encounter data. The database stores and provides access to parameterized information about animal behavior under different conditions, allowing the system to adapt warnings by changing displayed parameters rather than physical sign characteristics. This approach enhances adaptability while keeping manufacturing relatively simple through software-based parameter management.
Data Source
AI summary
A method of displaying a message associated with a likelihood of an animal appearing within a proximity of vehicle is provided. The method includes detecting, using a sensor of a vehicle, an animal warning sign in an area external to the vehicle at a particular time. The method further includes accessing in real time, using a computing device, a database including data associated with the animal depicted on the animal warning sign, determining in real time, using the computing device of the vehicle, a likelihood of the animal appearing within a proximity of the vehicle based on the accessed data, and displaying in real time, on a user interface associated with the computing device of the vehicle, a message based on the likelihood of the animal appearing within the proximity of the vehicle.