Automatic Control Section Detection for Navigation Detours
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Solution Overview
Problem
Current navigation systems fail to generate accurate detour routes due to the lack of consideration for road traffic information such as accidents, obstacles, and control sections, leading to inefficiencies in reaching a destination within the shortest time.
Innovation Solution
A system and method for automatically detecting control sections by analyzing primary control sections and their associated connectivity and directivity, allowing for the generation of accurate detour routes by incorporating additional control sections into the route search process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation systems use basic shortest distance routing without considering traffic control information, then the routing algorithm is simple and fast, but the route accuracy and user satisfaction deteriorate because detours around control sections are not generated
Solution Approach 1:
The system performs preliminary detection of control sections by analyzing traffic control information before route calculation. This advance identification and expansion of control sections allows the routing algorithm to pre-adjust paths, avoiding the need for complex real-time modifications during navigation while maintaining high route accuracy.
2Measurement precision
If navigation systems manually detect and expand control sections, then route accuracy improves, but the time and resources required for manual intervention increase
Solution Approach 1:
The system automatically detects control sections by analyzing traffic control information and autonomously expands these sections based on road connectivity and directivity data. This self-service mechanism eliminates manual intervention, achieving high detection accuracy while minimizing time loss through automated processing of traffic control information.
Solution Approach 2:
The system introduces an intermediary analysis process that bridges raw traffic control information and route calculation. This intermediary layer automatically expands control sections by analyzing road connectivity and directivity, serving as a mediator that transforms unprocessed traffic data into actionable routing parameters without requiring manual detection.
3Reliability
If navigation systems consider comprehensive traffic control information including accidents and obstacles, then the detour route quality improves, but the data processing complexity and computational load increase
Solution Approach 1:
The system extracts and isolates control section information from comprehensive traffic control data, separating it from other traffic information such as general congestion or weather conditions. By extracting only the relevant control section data and expanding it systematically, the system maintains high detour route reliability while reducing overall data processing complexity through selective information extraction.
Data Source
AI summary
A method and system for automatically detecting a control section using traffic information is disclosed. The automatic control section detection system may include an analyzer configured to analyze a primary control section that is a control section included in traffic control information; and a detector configured to detect an additional control section associated with the primary control section based on connectivity and directivity of roads connected to the primary control section.