双角色主体间的私人闲置车位和需求者匹配模型

共享经济的兴起为解决城市“停车难”提供了思路.针对既在目的地附近有车位需求，又拟将自有车位共享出去的这类双角色主体间的私人闲置车位和需求者匹配问题进行了研究.根据匹配主体的可接受价格、时间窗和最大允许步行距离，分别计算其作为私人闲置车位供应者和需求者的区域热度优先级;构建了以平台收益最大、主体匹配数量最大和主体优先级最高为目标的多目标优化模型.通过改进的NSGA-II算法对该多目标优化模型求解，确定了私人闲置车位和需求者的匹配方案，并通过算例说明了所提方法的可行性.本文研究结果对开展私人闲置车位与需求者匹配问题的研究提供了参考.

Matching Model for Private Idle Parking Spaces and Demanders Between Dual-Role Agents

Sharing economy provides a new way to solve the problem of “parking difficulty”. A matching problem between private idle parking spaces agents and demanders of dual-role agents was studied. A dual-role agent not only needs parking spaces near the destination， but also intends to share its own parking spaces. According to the acceptable price， time window and maximum allowable walking distance of the matching subjects， the regional heat priority as a supplier and demander of private parking spaces was calculated respectively. A multi-objective optimization model is constructed with the goal of maximizing platform revenue， maximizing the number of subject matches and the highest subject priority.The multi-objective optimization model was solved by the improved NSGA-II algorithm， the matching plan between private idle parking spaces and demanders was determined， and the feasibility of the proposed method was illustrated by a calculation example. The research results may provide reference for the research on matching between private parking spaces and demanders.