Author(s)

Zhijie Sun, Zhihao Chen, Hexiao Wang, Shuo Zhang

Corresponding Author

Shuo Zhang

ABSTRACT

To address the problem of parking solutions in the parking lot, this paper establishes a mathematical model to provide a decision for the vehicles entering the parking lot, and gives the parking solution with the lowest possible parking cost based on different states. Firstly, a parking scheme evaluation model based on Monte Carlo simulation is established. The various parameters affecting the parking strategy are determined as space utilization and parking capacity. Then, a parking strategy planning model based on Monte Carlo simulation, simulated annealing algorithm, and particle swarm algorithm is developed to design the optimal parking strategy for the parking lot to minimize the average integrated cost of the population.

KEYWORDS

Monte Carlo simulation, simulated annealing algorithm, particle swarm algorithm