Mobility Information Mapping for Priority Emergency Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobility information provision systems face challenges in accurately sensing and controlling the movement of multiple vehicles, particularly in situations involving unpredicted movements, blind spots, and emergency scenarios, leading to potential collisions and safety issues due to high processing loads.
Innovation Solution
A mobility information provision system that includes a collector, a mapping unit, an overall generator, and a specific generator, which collects and processes field information from communication apparatuses to map positions of mobile bodies and generate course-related information, prioritizing specific areas for emergency situations to ensure safe movement by distributing processing load and using dedicated networks for low-latency communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system processes field information from multiple communication apparatuses to generate course-related information for all mobile bodies, then the completeness of mobility information is improved, but the processing load increases leading to delays in emergency situations
Solution Approach 1:
The system divides the generation of course-related information into two segments: an overall generator that processes all mobile bodies, and specific generators that process individual mobile bodies in specific areas. This segmentation allows parallel processing, reducing the total processing time while maintaining completeness of information.
Solution Approach 2:
The mapping unit performs preliminary action by mapping positions of mobile bodies in advance before course-related information generation. This pre-processing organizes the data structure, enabling faster subsequent processing by both the overall generator and specific generators when emergency situations arise.
2Adaptability or versatility
If the system generates course-related information for all mobile bodies in all zones, then the coverage of mobility information is improved, but the processing complexity and load increase
Solution Approach 1:
The system segments the generation process into multiple independent generators (overall generator and multiple specific generators), each handling specific portions of the work. This reduces the complexity of any single processing unit while maintaining comprehensive coverage through coordinated operation of all generators.
Solution Approach 2:
Specific generators perform partial action by focusing only on mobile bodies within their designated specific areas, rather than processing all mobile bodies. This partial specialization reduces individual processing complexity while the collective action of all specific generators plus the overall generator ensures complete coverage.
3Device complexity
If the system uses a single generator to process all mobile bodies, then the system structure is simplified, but the processing speed decreases in emergency situations
Solution Approach 1:
The single generator is segmented into multiple parallel generators (overall generator and specific generators) that can simultaneously process different mobile bodies. This segmentation increases processing speed by enabling parallel computation while the modular structure keeps individual generator complexity low.
Solution Approach 2:
Multiple generators are merged in a hierarchical structure where specific generators handle localized processing and the overall generator provides comprehensive processing. This merging allows the system to achieve high processing speed through parallelism while maintaining coordinated control, effectively combining the advantages of both simple and complex structures.
Data Source
AI summary
A mobility information provision system includes a collector, a mapping unit, an overall generator, and a specific generator. The collector collects information about movement of a plurality of mobile bodies. The mapping unit maps positions of the plurality of mobile bodies on the basis of the information collected by the collector. The overall generator repeatedly performs a first generation process of generating course-related information by using information including the mapped positions. The specific generator performs, in a case where a specific area for one or more mobile bodies, out of the plurality of mobile bodies, has been set, a second generation process of generating the course-related information for the one or more mobile bodies present in the specific area, by using the information including the mapped positions. The specific generator executes the second generation process in precedence over the first generation process executed by the overall generator.