Multi-Modal Crowd Simulation for Information Presentation
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Solution Overview
Problem
Existing technologies for managing crowd movement at large events are limited to single means of transportation and do not account for wait times and incentives effectively, failing to provide comprehensive information for alleviating crowding.
Innovation Solution
An information provision device and method that simulates movement of multiple transportation modes, analyzing crowd density and wait times to offer effective countermeasures for alleviating crowding by providing visual and auditory information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple means of transportation are simulated, then the comprehensiveness of crowd analysis is improved, but the device complexity increases
Solution Approach 1:
The simulation execution unit is designed to handle multiple means of transportation (walking, trains, buses, etc.) through a unified simulation framework. The system uses universal data structures and algorithms that can process different transportation modes without requiring separate specialized systems for each mode, thereby achieving comprehensiveness while controlling complexity.
Solution Approach 2:
The system segments the crowd simulation into distinct modules: movement simulation, waiting simulation, and crowding analysis. Each module handles specific aspects of transportation independently, allowing the system to manage multiple transportation modes through modular components rather than a monolithic complex system.
2Measurement precision
If comprehensive simulation data is collected, then the accuracy of crowd condition analysis is improved, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary simulations and pre-calculates crowd movement patterns, waiting times, and potential crowding points before the actual event. By pre-processing data and establishing baseline models in advance, the system reduces the time required for real-time data processing while maintaining high accuracy in crowd condition analysis.
Solution Approach 2:
The system replaces complex mechanical data processing with information-based processing using simulation models and algorithms. Instead of processing raw movement data in real-time, the system uses pre-established simulation models to quickly analyze crowd conditions, significantly reducing processing time while maintaining measurement precision.
Data Source
AI summary
An information provision device includes: a simulation execution unit that executes a simulation of a movement of moving bodies on multiple routes from a point of departure to a destination on a basis of setting data that accounts for different means of transportation; a simulation result analysis unit that obtains, as a simulation result, information related to a number and a density of the moving bodies on each of the routes from the point of departure to the destination on a basis of a result of the simulation execution unit executing the simulation; and an information provision unit that provides information based on the simulation result obtained by the simulation result analysis unit.