Optimization model of parking space allocation based on genetic algorithm in reservation system mode

The issue of parking space allocation is an important part the research intelligent transportation. In recent years, with surge in number car users and popularity new energy vehicles, resources have become tighter. At same time, due to wide application reservation system, how choose optimal model has a problem for scholars discuss. order make full use ordinary spaces charging lot, this paper constructs lot under reservation-based mode. On basis, total revenue operator aimed at maximizing, demand are corresponding each other one-to-one, time window constraint. Through genetic algorithm, two-dimensional coding established, chromosome update strategy designed solved according conflict matrix. Simulation experiments carried out through MATLAB software verify scientific effectiveness models algorithms. results show that when limited, system mode can effectively improve utilization rate profit compared first-come, first-served mode, average improvement 30% 17% respectively.