Prediction of short-term bus routes passage flow based on wavelet analysis

摘要：

It is the basis for higher levels of benefits that whether a Public transport enterprises can allocate reasonably. During the bus business operations, the phenomenon of peak lack and pling peak idle of vehicle resources, results in a lower quality of service, passenger satisfaction is not high. In this paper, wavelet analysis and neural network methods are used to study the distribution of passenger flow at various time slots of bus routes, put forward a prediction method of bus line passenger flow time, describe the distribution of passenger flow of timeline, predict passenger flow of the period of the bus lines, and the transport vehicle dynamics control and reasonable dispatch can be realized.

关键词： wavelet analysis bus routes passenger flow prediction

作者: Zhao Shuzhi Ni Tonghe

作者单位: Transportation Plan and Management Department Transportation and Traffic College of Jilin University Changchun, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 49-52

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）