System and method for metro passenger flow early warning based on passenger flow density and gate pass time

Abstract

The present invention discloses a system and method for metro passenger flow early warning based on the passenger flow density and the gate pass time. The system comprises a passenger flow data collection unit, a gate pass time calculation unit, a passenger flow dynamic analysis unit and an early warning measure feedback unit. The system and method for the metro passenger flow early warning based on the passenger flow density and the gate pass time are suitable for the passenger flow early warning in the urban subway station in the condition of sudden increasing of the passenger flow. The system provided by the invention comprehensively considers the pedestrian congestion behavior generated at the exit gate and the normal walking behavior of a pedestrian walking area in the metro to overcome the limitation of the simple quantitative method which only takes the video data collection as the basis and takes the density as the assessment index, the early warning mechanism is more scientific, the feedback result is more accurate and practical, and the system provided by the invention only needs to perform detection and analysis of the passenger flow density of the passenger flow density in the metro station and the gate portion so that the calculation is concise.

Description

technical field [0001] The invention relates to a passenger flow early warning system and method in a subway station, in particular to a subway passenger flow early warning system and method based on passenger flow density and gate passing time. Background technique [0002] Due to its fast and punctual features, subways are increasingly favored by urban travelers. With the further improvement of the subway network layout, the share of subways in the urban public transportation system continues to increase, and the passenger flow has further increased. While bringing economic benefits, it also increases the load carried by the station, slows down the speed of passenger flow, and causes congestion in the station hall. It not only reduces the service level and affects the travel experience of passengers, but also brings safety hazards. Therefore, timely and accurate grasp of passenger flow information, understanding of operating status, and targeted early warning of large pas...

AI Technical Summary

Problems solved by technology

[0004] At present, subway passenger flow early warning is usually based on image information collection, and whether pedestrians move smoothly in space is used to judge whether early warning is needed. This technology usually does not consider the time of pedestrian evacuation in the subway station, and does not consider the difference in pedestrian movement space. Simply treat gates, elevators and other spaces as the same, and the early warning mechanism is relatively simple, which cannot meet the growing demand for subway passenger flow

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