The invention discloses a method for selecting induction points in a large-scale parking lot based on node importance, and the method comprises the steps: selecting a target large-scale parking lot with parking induction demands in the parking lot, and collecting the static data of the target large-scale parking lot; the driving process of all vehicles in the parking lot is investigated on site; performing survey data preprocessing in combination with various original data records to obtain a whole-process record of parking-seeking driving of all vehicles entering the parking lot; providing a node importance evaluation index for the selection of parking guidance point locations in a parking lot, and calculating each index value for all nodes of a traffic network in the parking lot; the index values are normalized, index weights are determined, and importance comprehensive evaluation scores of all the nodes are calculated; and selecting a parking guidance point according to the node comprehensive evaluation score. The method can support refined vehicle operation organization and management and control research in the large-scale parking lot, and is a new means for parking guidance point location selection under the background of difficulty in vehicle parking seeking in the urban large-scale parking lot.
本发明公开了一种基于节点重要度的大型停车场内诱导点位选取方法,包括:选定具有场内停车诱导需求的目标大型停车场,采集其静态数据;实地调查所有车辆在停车场内的行驶过程;结合各类原始数据记录进行调查数据预处理,得到所有进场车辆在停车场内寻泊行驶的全过程记录;面向场内停车诱导点位选取提出节点重要度评价指标,对停车场内交通网络所有节点计算各项指标值;对指标值进行归一化并确定指标权重,计算所有节点的重要度综合评价得分;按节点综合评价得分选定停车诱导点位。本发明可以支撑大型停车场内部的精细化车辆运行组织和管控研究,是城市大型停车场内车辆寻泊困难背景下的停车诱导点位选取新手段。
Method for selecting induction point locations in large parking lot based on node importance
一种基于节点重要度的大型停车场内诱导点位选取方法
2023-07-18
Patent
Elektronische Ressource
Chinesisch
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