Dynamic Service Relocation to Alleviate Traffic Congestion
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Solution Overview
Problem
Existing solutions fail to effectively alleviate traffic congestion on multiple routes, particularly in areas where events or crowds gather, as they do not dynamically adjust service locations to manage user density.
Innovation Solution
An information processing apparatus predicts user distribution and density in a predetermined area, identifying points where congestion will exceed limits and transmitting instructions to service providers to relocate their services to alternative points, thereby reducing congestion by altering service locations and routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If services are provided at fixed locations along congested routes, then users can access services of interest, but traffic congestion remains concentrated on specific routes
Solution Approach 1:
The service provision location is changed from fixed to dynamic. The system predicts future user distribution and dynamically determines optimal service locations based on predicted congestion points, allowing service locations to adapt continuously to changing traffic conditions and user patterns
Solution Approach 2:
The system performs preliminary prediction of user distribution and congestion points before congestion actually occurs. By predicting future congestion patterns and proactively relocating services to alternative locations, the system prevents congestion from forming on original routes
2Productivity
If service locations are changed to alleviate congestion, then traffic flow improves, but service providers face increased complexity in location management
Solution Approach 1:
The service location management system operates autonomously by automatically collecting user movement data, predicting congestion patterns, determining optimal service locations, and notifying providers. This self-service mechanism eliminates the need for manual intervention in location management decisions
Solution Approach 2:
The system implements a closed-loop feedback mechanism where user movement data and congestion patterns are continuously monitored, predictions are made based on this feedback, and service locations are adjusted accordingly. The system uses historical and real-time data feedback to continuously optimize service location decisions
3Adaptability or versatility
If services are concentrated at popular destinations, then user satisfaction increases, but congestion at specific points worsens
Solution Approach 1:
The system applies different service location strategies to different areas based on local characteristics. By analyzing user distribution patterns and congestion levels in specific locations, the system determines optimal service placements for each area, ensuring high user satisfaction while preventing local congestion hotspots
Data Source
AI summary
A controller is provided that is configured to execute: predicting a distribution of first users in a predetermined area; predicting, based on the predicted distribution of the first users, a first point that is a point where a density of the first users exceeds a predetermined upper limit value in the predetermined area in the future; and transmitting, to a terminal of a second user who is a provider of a service, information about prompting provision of the service at a second point other than the first point in the predetermined area.