Urban intelligent parking system based on the parallel theory

Nowadays, urban parking circumstances are becoming more and more challenging. To solve this problem, many methods have been proposed, such as infrastructure expansion, economic leverage and technical theory. However, these solutions are generally used independently, thus it is infeasible to solve all existing problems. Therefore, a novel and revolutionary solution is urgently required. In this paper, we first comprehensively investigate the background of parking difficulties, and find that all of the current existing solutions are not able to meet the requirements of dynamic, systematization, high efficiency and accuracy. Then we briefly introduce the parallel theory, and propose the intelligent parking system based on the parallel theory, which can provide a systematic intelligent solution to meet the needs of current parking systems. The parallel parking system is made up of three parts, including the artificial system, the computational experiments, and the parallel execution. The proposed parallel parking system not only provides a novel direction to solve the parking problem, but also is an important guidance for the specific implementation of parallel parking theory.