The invention discloses a priority-driven
hybrid shared parking and charging resource optimization method, and aims to solve the problems of unreasonable
resource allocation, unbalanced supply and demand of parking spaces and low
utilization rate of charging parking spaces of an existing
shared parking lot. The method comprises the following steps: firstly, constructing a priority matching mechanism of multiple types of parking spaces and parking demands, setting priorities according to parking demand types and
parking space attributes, and preferentially meeting the matching of mixed demands and charging parking spaces; secondly,
parking space and demand data of a
parking lot are collected, an optimization model with operation profit maximization as a target is constructed, and target functions comprise profit, cost and penalty cost; the timeliness and rationality of supply and demand matching are ensured by introducing the time window constraint of the parking demand and the
shared parking space supply; and establishing a constraint relationship between demand and supply, and optimizing the
resource allocation efficiency. The parking and charging
resource utilization efficiency can be remarkably improved, the user experience is improved, the
parking problem is relieved, and popularization of the shared parking policy is facilitated.