Research on Parking Lot Selection Model Taking Secondary Parking into Account

Abstract

Parking difficulty is a common problem in a lot of cities. People often find that there is no space in the selected parking lot so they have to look for another parking lot, which makes the parking efficiency very low. In this paper, by introducing the concept of time value, a calculation method of secondary parking cost is proposed, considering the factors affecting parking saturation, and combining BP neural network to predict parking space. Then, an optimal parking selection model with minimum generalized parking cost is built, which is applied to the calculation of optimal parking choice in Fuzhou central business district. The parking lot selection model which is built in this paper will improve the parking success probability of the selected parking lot, reduce the blindness of parking lot selection, the secondary parking flow rate and the heavy traffic in the city.