【摘要】 随着汽车保有量的增加,城市停车难问题越来越严重。为了提高停车效率,减少用户寻找停车场的时间成为当前的一个研究热点。在分析国内外研究现状以及数据调查基础上,选取影响用户停车行为选择的5个主要指标,同时利用遗传算法权值对5个影响指标进行权重的计算来确定各个属性的权重指数,构建面向用户的停车行为决策的协同推荐模型,实现对出行者进行目的地范围内的主动诱导。通过仿真实验分析,验证了模型的可行性,有助于解决停车难的问题。更多还原

【Abstract】 With the increase of car ownership,the problem of urban parking becomes more and more serious. To improve the parking efficiency and reduce the time for parking users to find the parking lot has become a research hotspot. Based on analyzing the research status at home and abroad and the investigation data,the selection of parking influence user behavior choice of five main index,at the same time by using the genetic algorithm has a weight impact on the five indexes weight calculation to determine the weight of each attribute index,construct a collaborative recommendation model for user oriented parking behavior decision,the destination within the scope of the active induced travelers is implemented. The feasibility of the model is verified by simulation experiment,which can help solve the problem of parking difficulty.更多还原