Transit Hub User Guidance for Congestion-Aware Zone Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity of mobility transit hubs due to the integration of various transportation modes and shared mobility services leads to user confusion and congestion, necessitating a system to enhance transit convenience and reduce congestion.
Innovation Solution
A computing device-based method and system that analyzes user information to guide users to affiliated zones within the transit hub, optimizing the operation of guide apparatuses to manage user flow and reduce congestion by dispersing users based on movement demand, use frequency, and congestion levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobility transit hub integrates various transportation modes and shared mobility services, then transit convenience is improved, but congestion increases
Solution Approach 1:
The system segments the transit hub into multiple affiliated zones (e.g., first affiliated zone, second affiliated zone) and dynamically assigns users to different zones based on real-time congestion levels. This spatial segmentation allows the hub to maintain high service capacity while distributing crowd density across multiple areas, thereby improving transit convenience without exacerbating congestion at any single location.
Solution Approach 2:
The guide apparatus dynamically adjusts its guidance decisions based on real-time congestion information. When congestion is detected in a particular affiliated zone, the system dynamically redirects users to alternative zones with lower congestion levels. This dynamic adaptation enables the system to optimize user flow continuously, maintaining transit convenience while actively managing and reducing congestion throughout the hub.
2Productivity
If the transit hub holds as many means of public transportation and shared mobilities as possible, then service capacity increases, but user navigation complexity increases
Solution Approach 1:
The guide apparatus acts as an intermediary between users and the complex network of transportation options within the hub. Instead of requiring users to navigate the complexity themselves, the guide apparatus receives user destination information and automatically determines the optimal affiliated zone and route. This intermediary function simplifies the user experience while supporting a high diversity of transportation services, thereby increasing service capacity without proportionally increasing navigation complexity for users.
3Ease of operation
If guide apparatus directs all users to the most convenient affiliated zone, then user satisfaction increases, but congestion at that zone increases
Solution Approach 1:
The system implements a feedback mechanism where the guide apparatus continuously monitors congestion levels at affiliated zones and uses this information to adjust its guidance decisions. When a zone becomes congested, the system receives feedback about the congestion state and modifies subsequent routing recommendations to distribute users more evenly across available zones. This feedback-driven approach maintains user satisfaction by still providing convenient routing while actively preventing excessive congestion at any single affiliated zone.
Data Source
AI summary
Disclosed herein a method, device and system for guiding users in a mobility transit hub therefor. The method includes: obtaining user information that comprises at least one of route information of the user using the mobility transit hub and mobility use information associated with a mobility requested by the user; analyzing, based on the user information, movement demand of the user who moves to an affiliated zone connected with the transit hub; and controlling an operation of a guide apparatus that controls a passage of the user, in order to lead the user to the affiliated zone that is determined based on the movement demand.