Egress Flow Control Using Real-Time Congestion Distribution
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Solution Overview
Problem
Congestion at mass-person facilities, such as airports and stadiums, hinders the efficient exit of users and impedes the ability to arrange transport services, leading to inefficiencies and vehicle congestion.
Innovation Solution
A network system that communicates with user devices to obtain position information, determines congestion levels, and distributes users to less congested egress points through targeted exit flows, using application content data to guide users to selected egress points via service applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If users concentrate at a single egress point for convenience, then individual exit speed is improved, but overall congestion increases and service efficiency deteriorates
Solution Approach 1:
The system segments the egress flow by dividing users into different groups and assigning them to different egress points based on real-time congestion levels. This segmentation prevents concentration of all users at a single exit, thereby maintaining individual exit speed while improving overall exit efficiency through distributed flow management.
Solution Approach 2:
The system dynamically adjusts egress point assignments in real-time based on changing congestion conditions. Users are not statically assigned to fixed egress points but are dynamically redirected to less congested exits, allowing the system to adapt to varying traffic patterns and maintain optimal exit efficiency while preserving individual exit speed.
2Productivity
If users are distributed across multiple egress points, then overall congestion is reduced and service efficiency improves, but individual exit time increases
Solution Approach 1:
The system implements real-time feedback by continuously monitoring congestion levels at different egress points and immediately communicating optimal exit assignments to users. This feedback loop ensures that users are directed to the least congested exits at any given moment, minimizing individual exit time while maintaining overall exit efficiency through balanced distribution.
Solution Approach 2:
The system performs preliminary routing calculations and provides exit guidance to users before they reach congested areas. By anticipating congestion patterns and pre-assigning optimal egress points, the system reduces individual exit time while maintaining efficient overall flow distribution.
3Productivity
If real-time congestion monitoring is implemented, then egress point optimization is improved, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms where users independently access congestion information through their mobile devices and autonomously navigate to recommended egress points without requiring complex centralized control or manual intervention. This reduces system complexity while maintaining high optimization efficiency through decentralized, user-driven flow management.
Solution Approach 2:
The system leverages existing multi-functional mobile devices as the primary interface for congestion monitoring and user communication. By utilizing the universal capabilities of smartphones (GPS, display, communication), the system avoids adding dedicated complex hardware, thereby reducing overall system complexity while maintaining effective real-time optimization.
Data Source
AI summary
A network system obtains position information from a plurality of computing devices that are located within a geographic region where a mass-user facility is provided. A congestion level is determined for an area of the geographic region, based at least in part on the position information obtained from the plurality of computing devices. In response to determining that the congestion level exceeds a threshold level, the network system determines a target distribution profile for managing the use of multiple egress points by users within the geographic region to reduce the congestion level. Application content data can be transmitted to individual computing devices to cause corresponding users to use a corresponding of the multiple egress points, in accordance with the target distribution profile.