3D Obstacle Route Planning for Oversize Transport Approval
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Solution Overview
Problem
Current transportation planning methods for large-capacity or exceptional transports are inefficient and lack automation, leading to increased costs, resource usage, and safety concerns due to the complexity of route planning and compliance with regulations.
Innovation Solution
A computer-implemented method that uses digital maps and three-dimensional obstacle data to determine suitable transport routes, integrating transport vehicle data and environmental obstacles for precise route planning, enabling automated route optimization and compliance with regulatory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual route planning methods are used for large-capacity transports, then flexibility in handling special cases is maintained, but planning efficiency is low and costs are high
Solution Approach 1:
The patent replaces manual mechanical route planning with an automated computer-implemented system that uses digital maps, three-dimensional obstacle data, and algorithmic route determination to generate optimized transport routes, thereby dramatically improving planning efficiency while managing complexity through software automation
Solution Approach 2:
The system enables self-service route planning by allowing transport operators to independently input transport data and receive automated route recommendations without requiring extensive manual intervention from planning experts, thus improving efficiency while keeping the system accessible
2Reliability
If comprehensive route planning considering all regulations is performed, then transport safety is ensured, but planning time and resources increase
Solution Approach 1:
The system performs preliminary actions by pre-loading digital maps with regulatory information, pre-processing three-dimensional obstacle data for route sections, and pre-calculating compatible routes that automatically comply with transport regulations, thereby ensuring safety while reducing actual planning time
Solution Approach 2:
The system incorporates feedback mechanisms that automatically check proposed routes against stored regulatory requirements and obstacle data, providing immediate validation and adjustment recommendations to ensure compliance without requiring extensive manual verification time
3Measurement precision
If detailed three-dimensional obstacle data is collected for all route sections, then route determination precision is improved, but data acquisition costs and processing requirements increase
Solution Approach 1:
The system applies local quality by collecting and processing detailed three-dimensional obstacle data selectively for specific route sections that are critical to transport safety or have complex features, rather than uniformly processing all route sections, thereby improving precision where needed while reducing overall data processing requirements
Solution Approach 2:
The route planning system segments the overall route into multiple route sections and processes three-dimensional obstacle data for each segment independently, allowing precise local analysis while managing data volume through divide-and-conquer processing strategies
Data Source
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AI summary
A computer-implemented procedure is described. A map is created. A start point and a destination point are defined on the map. Transportation data is recorded. At least one initial route from the start point to the destination point is determined on the map. Three-dimensional obstacle data is determined along this initial route. A second route is created based on this initial route, the transportation data, and the three-dimensional obstacle data.