Abstract: 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.

Key words: sharing economy; private idle parking space; matching; priority; dual-role agent; improved NSGA-II algorithm