Research on Parking Lot Recommendation Algorithm with Dual Decision Combination
In this paper,aiming at the existing parking lot recommendation algorithm,which is not comprehensive enough to consider the influencing factors and relies more on individual behavior decision,a parking lot recommenda-tion algorithm based on dual decision combination is proposed.The algorithm not only considers individual behavior factors,but also mines effective information from the historical data of parking lot to guide the final recommendation result.Firstly,the scores of each parking lot were calculated by the decision algorithm based on individual behavior.Secondly,the hierarchical analysis based decision algorithm was used to mine the scores of each parking lot from the historical data of parking lot.Finally,the two decision results were fused to get the final result.The feasibility of the algorithm was verified by simulation analysis.
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