Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis

According to the problem that the directing information is static in most parking guidance and information systems (PGIS) nowadays, this paper suggests establishing the real-time and dynamic PGIC that is providing the dynamic information guidance for the vehicles that need parking. First of all, it adopts the principal component analysis to choose the main factors that affect the drivers´ parking choice activity. Then according to fuzzy clustering algorithm, it categorizes the drivers that need parking and assign them parks, in order to carry out the real-time and dynamic guidance in the process of parking.