停车场内部泊车行为特性分析及最优泊位选择模型  

Micro-level parking behaviors within parking facilities and optimal parking space choice model

作　　者：季彦婕[1] 王炜[1] 邓卫[1] 

机构地区：[1]东南大学交通学院,南京210096

出　　处：《东南大学学报（自然科学版）》2009年第2期399-403,共5页Journal of Southeast University：Natural Science Edition

基　　金：国家自然科学基金重点资助项目(50738001);东南大学人才引进科研启动资助项目(9221002442)

摘　　要：在详细分析有无诱导条件下的停车场内部泊车行为异同的基础上,提出服务于车位引导系统的最优泊位选择模型.结合国内外微观泊车行为调查分析结果,确定了停车场内泊位选择过程中的主要影响因素,包括步行距离、行驶距离、安全性、遮荫时长和有效泊位两侧车辆占用情况等.将各影响因素视为泊位的多项属性,建立了基于灰熵的最优泊位选择模型,对某一时刻停车场内所有的空余有效泊位进行排序,确定最优泊位.实例分析表明,该模型客观、简单、实用,有助于车位引导系统为停车者选择实时的最优泊位.An optimal parking space choice model for guidance system within parking facilities based on the analysis of parking behavior with or without parking guidance system is proposed. According to micro-level parking behavior survey results, the most important factors influencing drivers＇ parking space choice include walking distance from parking spaces to parking lots exits, travel distance from parking lots entrances to parking spaces, parking safety, and shade from sunlight outdoors and status of available parking spaces. Taking these factors as parking spaces＇ attributes, a multi-attribute decision-making model based on grey entropy theory is proposed to help parking guidance system within parking facilities choose the optimal parking space for drivers. A case study is presented to verify the applicability of the proposed model. The results show that the model can help drivers choose the optimal parking space within parking facilities.

关 键 词：车位引导系统 泊车行为特性 最优泊位选择模型 灰熵理论 

分 类 号：U491[交通运输工程—交通运输规划与管理]