Smart Bike-Sharing System based on Genetic Algorithm Network

In order to facilitate the travel of urban residents and improve the congestion and pollution caused by motor vehicles, bike-sharing services have been launched in various cities around the world. However, the current bike-sharing system faces many problems such as payment method being not uniform, flaws in the design of bike-sharing and so on, resulting in a decline in user experience. This paper uses genetic algorithm to solve the scheduling issues of bike-sharing in a big city. In addition, cloud computing was used to improve the accuracy of the transmission standard for information exchange between clients and server. Based on the constructed bike-sharing model, the application of genetic algorithm on real-world examples shows very good results for bike-sharing scheduling.