A method for setting emergency rescue parking points in urban rail transit stations

Abstract

The invention discloses a method for setting emergency rescue parking points of urban rail transit stations, which quantifies the importance of transfer, location and level of the station based on the transfer passenger flow, location passenger flow and daily passenger flow respectively, and then quantifies the traffic of the station importance. Finally, according to the traffic importance value, the minimum number of parking points required to be covered by the target station is set, which is conducive to the site selection and setting of emergency rescue parking points, reduces emergency delays of rescue vehicles, and improves emergency rescue efficiency.

Description

technical field [0001] The invention relates to a method for setting emergency rescue parking points at urban rail transit stations, and belongs to the technical field of urban traffic emergency management and control. Background technique [0002] The traffic importance of urban rail transit stations can be understood as the possibility of emergencies occurring at rail transit stations, as well as the accompanying intensity of emergency rescue demands. In many studies at home and abroad, urban rail transit stations are usually regarded as emergency rescue demand points, and the setting of urban rail transit networked emergency rescue parking points is studied. The important function of the parking point is to provide assistance to the emergency station in time. However, in the urban rail transit network, the possibility of an emergency at the station is often affected by many characteristics of the station itself, such as the transfer scale of the station. , The location f...

AI Technical Summary

Problems solved by technology

The level of the station is different, and the passenger flow of the corresponding station will also have a huge difference. Relatively, the uncertain factors in places with many people will inevitably be stronger than those in places with few people, which will directly affect the traffic importance of the station, resulting in The greater the probability of accidents, the greater the corresponding intensity of emergency rescue needs

[0004] At present, the existing research at home and abroad is only based on the topological structure of the road network, using various algorithm theories to realize the identification and extraction of key stations or key stations, and it is impossible to make an intuitive comparison of all stations in a city

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