关键词: 城市交通, 公共自行车租赁系统, 单站点需求量预测, Elman神经网络

Abstract: The main problem of the public bicycle rental system is the difficulty of the user access to the bicycle and the rental station needs staff on duty at the peak hours. In order to avoid scheduling process determined by dispatcher empirically blindly, improve the scheduling scientifically, shorten the operation time and reduce the cost, so as to better meet the rental demand of the users, a method is proposed to predict the demand of single public bicycle rental station based on improved Elman Neural Network. The effectiveness of the proposed method is proved by comparing the predicted results with the actual demand.

Key words: urban transport, public bicycle system, demand predict of single station, Elman neural network