Map-Based Route Planning for Autonomous Mobility in Crowded Walkways
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Solution Overview
Problem
Existing systems struggle to provide autonomous navigation for mobile bodies like electric wheelchairs in crowded environments with pedestrians, as dedicated roadways are difficult to implement, leading to potential collisions and accidents due to inexperienced users.
Innovation Solution
An information processing method that generates a route for a mobile body using map data with nodes and links, including transit pass management to avoid collisions, utilizing sensors and control units for autonomous travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous navigation is implemented for mobile bodies in crowded environments, then user safety and collision prevention are improved, but system complexity increases due to the need for sophisticated route planning and transit pass management
Solution Approach 1:
The navigation system is segmented into distinct functional modules: route generation unit that creates paths using map data with nodes and links, transit pass management unit that handles authorization for specific roadways, and control unit that executes navigation. This modular segmentation allows each component to be optimized independently while maintaining overall system reliability for user safety.
Solution Approach 2:
A transit pass system acts as an intermediary mechanism between the mobile body and the roadway infrastructure. The transit pass serves as a virtual authorization token that mediates access control, allowing the system to manage complex interactions in crowded environments without requiring direct complex communication between all system components.
2Reliability
If dedicated roadways are provided for mobile bodies, then navigation reliability is improved, but adaptability to crowded environments with pedestrians deteriorates
Solution Approach 1:
The roadway infrastructure is designed with multi-functionality, where general roadways can dynamically serve as dedicated roadways for mobile bodies through the transit pass system. The same physical space can accommodate both pedestrian traffic and autonomous mobile body navigation, with the transit pass enabling the roadway to switch between different usage modes based on real-time needs, thus maintaining both reliability and adaptability.
Solution Approach 2:
The system dynamically adjusts roadway allocation rather than relying on fixed dedicated infrastructure. The transit pass is issued based on real-time route requirements, allowing the system to adapt to changing environmental conditions and traffic patterns in crowded areas while maintaining navigation reliability through authorized access control.
Data Source
AI summary
An information processing method and the like realize autonomous travel of a mobile body (30) that supports the movement of people who have difficulty walking long distances on their own. The information processing method is for a computer to execute processing including acquiring a current position and a destination from a mobile body (30) that moves with a person on board, acquiring a first route (61) from the current position to the destination, the first route (61) being generated based on map data (51) that includes a plurality of nodes and links each associating a starting node, an ending node, and a travel condition, and transmitting the first route (61) to the mobile body (30).


