Self-balanced Bicycle Rental Systems Under Dynamic Demand Forecasting
In this paper we develop a dynamic pricing framework for bicycle rental system to help achieve self-balance and apply this model to a simple two stations case.The first part is short-time demand forecasting for Origin-Destination(OD)pairs,using an Adaptive Difference Method.Such method integrates the information from both historical and real-time data to improve the precision of demand forecasting and estimation.Based on given OD demand,the second part illustrates a dynamic pricing model for self-balanced bicycle rental systems.We develop an optimum programming whose object is to achieve the self-balance of rental system under minimized society cost.We also employ discrete choice models to model the equilibrium between different travel modes.Lastly,this OD demand forecasting method and the dynamic pricing model are simulated in a two stations case.
Dynamic pricing Short-time demand forecasting Bicycle rental system Difference Method Discrete choice model
Wenbo Kuang Zhengtian Xu Huapu Lu
Institute of Transportation,Department of Civil Engineering Tsinghua University Beijing,China
国际会议
厦门
英文
189-194
2014-08-19（万方平台首次上网日期，不代表论文的发表时间）