摘要
在城市出租合乘业务场景的基础上,为提升出租合乘匹配实际应用效果,本文提出基于主客观模糊物元评价的城市出租合乘匹配方法。该方法首先通过约束条件搜索生成可行合乘匹配方案集合,在兼顾出租司机和合乘乘客效益的基础上确定方案评估指标,采用主观层次分析法(Analytic Hierarchy Process,AHP)和客观赋权法(Criteria Importance Though Intercrieria Correlation,CRITIC)相结合的组合赋权方法来构建模糊物元模型,对合乘匹配方案进行优劣评估并确定最优匹配结果。选取某地级市进行出租合乘匹配实例分析,结果表明该方法从搜索可行合乘匹配方案集到确定最优匹配结果共耗时4.217s,并从乘客费用和合乘时间两个方面说明最优匹配结果既能有效权衡乘客选择合乘的出行费用,也能将合乘时间控制在乘客可接受的合理范围内,可为城市出租合乘匹配提供方法借鉴。
Based on the actual scenario of the urban taxi carpool business, and to improve the practical application effect of the taxi carpool matching, this paper proposes an urban taxi carpool matching method based on the subjective and objective fuzzy matter-element model. Firstly, the set of feasible carpool plans is determined by setting matching constraints. Secondly, on the basis of taking into account the benefits of taxi drivers and carpool passengers, the evaluation indicators of the plan are determined, and the combined weighting method combining subjective AHP and objective CRITIC method is used to construct a fuzzy matter-element model to evaluate the advantages and disadvantages of the carpool plan and obtain the optimal solution. Finally,a case study of selecting a prefecture-level city for urban taxi-carpooling. The results show that the method takes 4.217s from searching feasible set to outputting the optimal result, and the solution can effectively balance the taxi fare and carpooling time to a reasonable range, which can provide a method reference for urban taxi carpooling matching.
作者
林思奇
吴丁泓
李旭芳
王松辉
LIN Siqi;WU Dinghong;LI Xufang;WANG Songhui(Xiamen GNSS Development&Application Co.,Ltd,Xiamen,China,361000)
出处
《福建电脑》
2022年第11期7-12,共6页
Journal of Fujian Computer
关键词
出租合乘
实时匹配
方案评估
模糊物元
Urban Taxi-Carpooling
Real-Time Matching
Plan Evaluation
Fuzzy Matter-Element Model
