Research on the Collaborative Recommendation Model of Parking Lot Based on Subjective Parking Decision
PAN Sheng
QI Yong
LI Qianmu
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 ex?periment,which can help solve the problem of parking difficulty.
Keywords：parking decisiongenetic algorithminducecollaborative recommendation
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 3010-3014,3125 )