Mobile Unit Route Control for Dynamic Crowd Avoidance
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Solution Overview
Problem
Existing mobile unit systems for assisting users in fixed-route traveling do not adapt their routes or speeds based on real-time transportation and crowd conditions, leading to inefficiencies and potential overcrowding.
Innovation Solution
A mobile unit control system that acquires operation information on transportation and crowd conditions, using this data to dynamically set and adjust the traveling route and speed of the mobile unit, ensuring optimal navigation and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile unit travels on a fixed closed loop route, then the system structure is simple and easy to operate, but the system cannot adapt to changing crowd conditions and transportation situations
Solution Approach 1:
The mobile unit control system dynamically adjusts traveling routes and speeds based on real-time crowd conditions and transportation situations. The fixed closed-loop route is transformed into a flexible route that can be modified in response to changing conditions, resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The system acquires crowd condition information and transportation situation data, then uses this feedback to adjust the mobile unit's traveling route and speed. This closed-loop feedback mechanism enables the system to adapt to changing conditions while maintaining manageable complexity through automated decision-making.
2Adaptability or versatility
If the mobile unit travels at constant speed, then the operation is simple and reliable, but the system cannot respond to varying crowd density and transportation conditions
Solution Approach 1:
The mobile unit's traveling speed is dynamically adjusted based on acquired crowd condition information and transportation situations. The control system automatically modifies speed parameters in response to real-time conditions, enabling responsiveness while maintaining operational simplicity through automated control.
Solution Approach 2:
The system continuously acquires information about crowd conditions and transportation situations, then uses this feedback to adjust traveling speed. This automated feedback loop enables the system to respond to varying conditions without requiring complex manual operational adjustments.
3Productivity
If the mobile unit follows a preset fixed route, then the system is easy to implement and manage, but the system may cause overcrowding and cannot optimize travel efficiency
Solution Approach 1:
The mobile unit's traveling route is dynamically optimized based on real-time crowd condition information and transportation situations. The system automatically adjusts routes to avoid crowded areas and improve travel efficiency, resolving the contradiction between productivity and route management complexity through automated decision-making.
Solution Approach 2:
The system acquires crowd condition information and uses this feedback to optimize traveling routes in real-time. This automated route optimization based on feedback enables improved travel efficiency without requiring complex manual route management, as the system autonomously adjusts routes based on acquired information.
Data Source
AI summary
A mobile unit control system includes an acquisition unit configured to acquire operation information on transportation located around the traveling area of a mobile unit that a user gets on and off while the mobile unit is traveling and a setting unit configured to set the traveling route or the traveling speed of the mobile unit based on the operation information on transportation.