The invention discloses an intelligent garage management method and
system for collaborative dynamic guidance, and aims to improve the parking
resource utilization rate and the guidance efficiency. According to the method, a parking request containing user preferences and vehicle attributes is received, and a target
parking lot is recommended and reserved. After the vehicle enters the
parking lot, the
system collects real-
time data through
the Internet of Things, and generates dynamic situation information in the
parking lot by combining historical data and utilizing a space-time fusion prediction model. Based on this, the
system executes multi-target dynamic optimal
parking space distribution, and plans a driving path with the lowest comprehensive passing cost. In the guiding process, the system carries out
continuous monitoring, and
parking space and path re-planning is triggered immediately in case of congestion or
parking space occupation and other abnormalities. The corresponding system comprises a request
processing module, a parking lot sensing module, a data fusion and situation prediction module, a dynamic parking space distribution module, a real-
time path planning module, a state monitoring and re-planning module, a billing updating module and the like, automatic and
intelligent management from reservation, guiding to parking lot leaving billing is achieved through the cloud, and the parking efficiency and the user experience are remarkably improved.