Intelligent Transportation Dangerous Scene Prompting
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Solution Overview
Problem
In the field of intelligent transportation, existing technologies struggle to effectively process and utilize information from the Internet of Vehicles to prompt safe travel by identifying associated dangerous travel scenes alongside target dangerous scenes.
Innovation Solution
An information processing method and apparatus that acquire a target dangerous travel scene on a road section, gather reference information from detection records of multiple dangerous travel scenes within a time period, and determine an associated dangerous travel scene correlated to the target scene, thereby prompting both the target and associated scenes to enhance travel safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only the target dangerous travel scene is prompted, then the information processing is simple, but the travel safety cannot be sufficiently improved
Solution Approach 1:
The system performs preliminary action by determining associated dangerous travel scenes in advance based on historical detection records and spatial-temporal relationships. When a target dangerous scene is detected, the pre-determined associated scenes are immediately prompted together, enabling proactive safety warnings before accidents occur while maintaining efficient real-time processing
Solution Approach 2:
The information processing is segmented into distinct modules: detection record acquisition, spatial-temporal relationship analysis, associated scene determination, and prompt generation. This segmentation allows the system to handle complex safety analysis through manageable steps, improving travel safety without overwhelming system complexity
2Reliability
If associated dangerous travel scenes are determined and prompted, then travel safety is improved, but the information processing time and complexity increase
Solution Approach 1:
Associated dangerous travel scenes are determined in advance using historical detection records and spatial-temporal relationships. This preliminary determination stores pre-analyzed scene associations, allowing the system to quickly retrieve and prompt relevant scenes when targets are detected, improving safety without significant time loss
Solution Approach 2:
The system determines N dangerous travel scenes (where N≥1) within a time period, which may include more scenes than strictly necessary. This partial or excessive action ensures that all potentially relevant associated scenes are captured and prompted, enhancing travel safety through comprehensive coverage while managing processing time through efficient filtering
Data Source
AI summary
A target dangerous travel scene existing on a target road section is acquired. Reference information corresponding to the target road section is acquired. The reference information is determined according to a detection record corresponding to each of N dangerous travel scenes detected on the target road section within a target time period. N is an integer greater than 1. The detection record corresponds to each dangerous travel scene being used for reflecting time at which the corresponding dangerous travel scene is detected. An associated dangerous travel scene correlated to the target dangerous travel scene from the N dangerous travel scenes is determined according to the reference information. A prompt operation according to the target dangerous travel scene and the associated dangerous travel scene is performed.