17668877. APPARATUS FOR PREDICTING TRAFFIC INFORMATION AND METHOD THEREOF simplified abstract (Hyundai Motor Company)
APPARATUS FOR PREDICTING TRAFFIC INFORMATION AND METHOD THEREOF
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APPARATUS FOR PREDICTING TRAFFIC INFORMATION AND METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 17668877 titled 'APPARATUS FOR PREDICTING TRAFFIC INFORMATION AND METHOD THEREOF
Simplified Explanation
The patent application describes an apparatus for predicting traffic information using a traffic information prediction model. The apparatus includes a storage for storing the prediction model and a controller for calculating a congestion transfer rate of a target section based on traffic volume and vehicle density. The congestion transfer rate, along with the speeds of the target section, the section in front, and the section behind, are inputted to the prediction model to estimate traffic information for the target section.
- The apparatus predicts traffic information by using a traffic information prediction model.
- It calculates the congestion transfer rate of a target section based on traffic volume and vehicle density.
- The congestion transfer rate, along with the speeds of adjacent sections, is inputted to the prediction model.
- The prediction model estimates traffic information for the target section based on the inputted data.
Potential Applications
- Traffic management systems
- Navigation systems
- Intelligent transportation systems
Problems Solved
- Inaccurate or outdated traffic information
- Difficulty in predicting traffic conditions in specific sections
- Lack of real-time data for traffic management
Benefits
- Improved accuracy in predicting traffic information
- Real-time estimation of traffic conditions in specific sections
- Enhanced traffic management and navigation systems
Original Abstract Submitted
An apparatus for predicting traffic information includes a storage storing a traffic information prediction model, and a controller configured to calculate a congestion transfer rate Wof a target section based on a volume of traffic and vehicle density and input the congestion transfer rate, a speed of the target section, a speed of a section in front of the target section, and a speed of a section behind the target section to the traffic information prediction model to estimate traffic information of the target section.
