Dynamic and static linkage vehicle path guiding method and device and storage medium

Abstract

The invention relates to a dynamic and static linkage vehicle path guiding method and device and a storage medium. The method comprises the following steps: S1, acquiring real-time data of each road; s2, establishing a directed weighted complex network of the road network; s3, determining an alternative point set of the terminal point of the parking vehicle according to the destination of the parking vehicle, wherein alternative points in the alternative point set are nodes corresponding to the entrances of the parking lots; s4, solving a directed edge sequence with the minimum distance from a node corresponding to the starting point position of the parking vehicle to each alternative point in the complex network by using a shortest path algorithm, and taking the directed edge sequence as a path corresponding to the alternative point; and S5, selecting the alternative point corresponding to the shortest path in all the paths as the destination of the parking vehicle, and guiding and measuring the parking vehicle to enter the parking lot for parking according to the real path corresponding to the path. Compared with the prior art, the method has the advantages of improving the parking efficiency and experience and the like.

Description

technical field [0001] The present invention relates to a parking guidance method, in particular to a dynamic and static linkage vehicle path guidance method, device and storage medium. Background technique [0002] As the demand for parking continues to rise, the limited supply of parking spaces and the unreasonable distribution of parking spaces have led to the problem of urban parking difficulties. The construction of super-large parking lot is one of the important means to solve the parking problem in urban complexes. Large parking lots often have multiple entrances. During peak periods, a large number of parking vehicles entering the parking lot often face the problem of entrance selection. Under the premise that the congestion status of the road network is unknown, selecting the entrance of the parking lot nearby may lead to long-term congestion and queuing, and the user experience is poor. , and it is easy to further lead to the chaos of dynamic traffic, and the traf...

AI Technical Summary

Problems solved by technology

During peak hours, a large number of parked vehicles entering the parking lot often face the problem of entrance selection. Under the premise of unknown road network congestion status, choosing the nearest entrance to the parking lot may lead to long-term congestion and queuing, and the user experience is poor. , and it is easy to further cause dynamic traffic chaos and low traffic efficiency

[0003] Previous vehicle guidance methods generally only provide algorithms for navigating to the parking lot, or provide an algorithm for navigating from the entrance to the parking space, and do not optimize or select the entrance of the parking lot as a variable, and usually use offline road speed information as a known condition. Shortest path calculation, unable to use real-time data to improve efficiency

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