A method and related device for passenger flow control in a transportation hub based on holographic trajectory
Through the application of trajectory perception of moving objects in the transportation hub and the application of traffic prediction models, the problem of difficult to master the time and space distribution of passenger flow is solved, and the linkage of transportation capacity resources and the improvement of passenger flow control effect is achieved.
CN119294768BActive Publication Date: 2025-03-25ZHEJIANG SUPCON INFORMATION TECH CO LTD
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Patent Information
- Application Number
- CN202411816681.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-11
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-11
AI Technical Summary
Technical Problem
It is difficult for existing technology to fully grasp the temporal and spatial distribution of passenger flow at transportation hubs, which affects the linkage of transportation capacity and resources.
Method used
By trajectory perception of moving objects in the traffic hub, the current timing trajectory in three-dimensional space is generated, and a pre-constructed traffic prediction model is used to predict the traffic sharing rate based on the current timing trajectory to achieve the linkage of transportation capacity resources.
Benefits of technology
It has achieved a comprehensive grasp of the time and space distribution of passenger flow, effectively linked transportation resources, and improved the effect of passenger flow control.
✦ Generated by Eureka AI based on patent content.
Abstract
The present application discloses a method and related device for passenger flow control in a transportation hub based on holographic trajectories, which relates to the field of intelligent transportation technology. By sensing the trajectory of moving objects in a transportation hub, the current time-series trajectory of the moving objects in three-dimensional space is generated; the constructed traffic prediction model for predicting the traffic sharing rate is retrieved, and the traffic sharing rate represents the sharing rate of different modes of transportation; the current time-series trajectory is input into the traffic prediction model to obtain the current traffic sharing rate output by the traffic prediction model for the transportation hub. The present application predicts the current traffic sharing rate of the transportation hub by sensing the time-series trajectory of the moving objects, thereby predicting the capacity demand of different modes of transportation, which can effectively link the transportation capacity resources and improve the control effect.
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