Setting method for emergency rescue parking points of urban rail transit station

Abstract

The invention discloses a setting method for emergency rescue parking points of an urban rail transit station. The transfer, region and grade importance of the station are quantized based on transferpassenger flow, regional passenger flow and daily passenger flow; the traffic importance of the station is quantized; and finally according to a traffic importance value, a minimum number of the parking points required to be covered by the target station is set. Therefore, the address selection setting of the emergency rescue parking points is facilitated; the emergency delay of rescue vehicles isshortened; and the emergency rescue efficiency is improved.

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...

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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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