基于最优组合的停车诱导信息配置模型与算法  

Parking guidance information configuration model based on optimized combination method

作　　者：梅振宇[1] 项贻强 陈峻[2] 王炜[2] 

机构地区：[1]浙江大学建筑工程学院,浙江杭州310027 [2]东南大学交通学院,江苏南京210096

出　　处：《浙江大学学报（工学版）》2008年第1期139-144,共6页Journal of Zhejiang University：Engineering Science

基　　金：国家重点基础研究发展计划资助项目(2006CB705500);中国博士后科学基金资助项目(20060401046)

摘　　要：为了实现宏观调控城市全局的静态交通分布的目标,通过对停车选择的分析,提出了停车诱导信息配置优化组合模型与算法.模型的研究从车辆到达率高和日常泊位饱和度大的热点停车场入手,考虑车辆停放者的选择行为,以总行程时间最小建立了目标函数.通过采用基于最优组合的可变信息板(VMS)信息显示组合方式来发挥停车选择诱导作用,并对它设计了遗传算法(GA)进行了计算,从而获得目标函数的优化值.经浙江德清中心城区实例验证,设置诱导后最小总行程时间减少了49.9%,结果显示,该模型能通过引导停车者不选择"过热"的停车场而选择其他次选的停车场来减少总行程时间.A new model of parking guidance method was established through the analysis o bution. Aiming at the park with high arriving parking choice behavior and takes the minimiza combination method was adopted to induce the information configuration based on optimized combination f parking choice behavior to control city static traffic distrirate and high saturation, the model considers the drivers＇ tion of total travel time as objective function. The optimized drivers＇ parking choices, and genetic algorithm （GA） was designed to obtain the optimized value of object function. An example in central city of Deqing in Zhejiang province showed that the minimum total travel time of parking vehicles decreased by 49.9 % with parking guidance information being configured. Accordingly the model can lead drivers to select other proper parks instead of over-heated park to reduce the total travel time.

关 键 词：停车诱导信息 停车选择行为 优化组合模型 遗传算法 

分 类 号：U491.7[交通运输工程—交通运输规划与管理]