International business machines corporation (20240102814). DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS simplified abstract
Contents
- 1 DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS
Organization Name
international business machines corporation
Inventor(s)
Venkata Vara Prasad Karri of Visakhapatnam (IN)
Hemant Kumar Sivaswamy of Pune (IN)
Saraswathi Sailaja Perumalla of Visakhapatnam (IN)
DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240102814 titled 'DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS
Simplified Explanation
The patent application describes a system that uses an AI model trained by supervised learning to generate safety level scores for travel parking spots based on various data sources, including online data and IoT devices. The system then determines potential parking spots along a vehicle's route, evaluates their safety levels, and sends this information to the vehicle's computing device.
- The system uses supervised learning to train an AI model for generating safety level scores for travel parking spots.
- It incorporates online source data and static and dynamic IoT data to assess the safety of parking spots.
- The system identifies potential parking spots along a vehicle's route and provides safety level scores for these spots.
- The safety level scores are sent to the vehicle's computing device for the driver's reference.
Potential Applications
This technology could be applied in:
- Navigation systems to help drivers find safe parking spots along their route.
- Smart city initiatives to improve urban parking safety and efficiency.
Problems Solved
This technology addresses the following issues:
- Lack of real-time information on parking spot safety.
- Difficulty in assessing the safety of parking spots in unfamiliar areas.
Benefits
The benefits of this technology include:
- Increased safety for drivers and their vehicles.
- Enhanced convenience in finding secure parking spots.
Potential Commercial Applications
This technology could be used in:
- Car navigation systems.
- Parking management solutions for cities and businesses.
Possible Prior Art
One possible prior art for this technology could be the use of AI models in traffic management systems to optimize parking spot allocation based on real-time data.
Unanswered Questions
How does the system ensure the accuracy of the safety level scores generated for parking spots?
The system may use a combination of data validation techniques and feedback mechanisms to continuously improve the accuracy of its safety assessments.
What measures are in place to protect the privacy and security of the data collected from online sources and IoT devices?
The system likely employs encryption, access controls, and data anonymization techniques to safeguard the privacy and security of the collected data.
Original Abstract Submitted
generating safety level scores of travel parking spots by an ai model trained by supervised learning using labeled online source data and static and dynamic iot data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of iot devices in the vicinity of the travel parking spots, generating by the ai model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.
