Road Passability Estimation Using People Flow Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
During disasters, evacuees and supply vehicles face delays due to unpassable road sections caused by flooding or other obstacles, as existing systems lack real-time information on road passability, leading to inefficient route navigation.
Innovation Solution
A passage information providing device and method that acquire people flow information to estimate road passability and output passage availability information, using machine learning models and AI technology to analyze data from various sources like social networking services and camera images, and provide recommended routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional navigation systems are used without real-time road passability information, then the system complexity remains low, but evacuees and supply vehicles experience significant time loss due to returning from unpassable portions
Solution Approach 1:
The system performs preliminary actions by estimating road passability before evacuees or supply vehicles reach problematic areas. By using people flow information from mobile terminals to predict flooding or obstacles in advance, the system enables users to plan alternative routes beforehand, avoiding time-consuming returns and reducing the loss of time.
Solution Approach 2:
The system implements feedback by continuously monitoring people flow information from mobile terminals and using this data to update road passability estimates. This feedback loop allows the system to provide real-time information about actual road conditions, enabling dynamic route adjustments that reduce time loss from returning to destinations.
2Measurement precision
If real-time road passability estimation is implemented using people flow information, then accurate passage availability information can be provided, but the device complexity increases due to data acquisition and processing requirements
Solution Approach 1:
The system uses mobile terminals as intermediaries to acquire people flow information. Instead of deploying complex dedicated sensors throughout the area, the patent leverages existing mobile devices carried by evacuees and residents to collect data on movement patterns, which then serves as the basis for road passability estimation. This approach maintains measurement precision while reducing device complexity.
Solution Approach 2:
The system employs self-service by utilizing the mobile terminals themselves to provide the data needed for road passability estimation. The mobile devices automatically track and transmit location and movement information without requiring additional specialized equipment, thereby achieving accurate measurement while keeping the overall system complexity manageable.
Data Source
AI summary
A passage information providing device acquires information regarding movement of people on a road as people flow information. The passage information providing device estimates whether the road is passable by using the people flow information that has been acquired. The passage information providing device outputs passage availability information indicating the estimated state of whether the road is passable.