Research on Dwell Point Strategy of Compact Intelligent Parking System under Dynamic Demand

Abstract

“Parking difficulty” seriously hinders urban traffic development, Therefore, itis of great theoretical and practical value to improve the operation efficiency, which study the compact intelligent parking system with high land utilization rate. Considering decentralized and random vehicle access demands, and their impact on the dwell point strategy of parking system, the selection model of dwell point strategy under dynamic demand is built. Building the operation model of compact intelligent parking system, and analysing the influence of environmental factors on the system demand, then the data set is built. Based on random forest, the selection model of dwell point strategy under dynamic demand is built, and the importance of relevant influencing factors is sorted. Finally, the research effect is verified by example. The result shows that the research can effectively improve the operation efficiency and user satisfaction, and the research has a wider scope and application value.