A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems.
文献类型：期刊论文
| 作者 | Zhang, Jun ; Shen, Dayong ; Tu, La ; Zhang, Fan ; Xu, Chengzhong ; Wang, Yi ; Tian, Chen ; Li, Xiangyang ; Huang, Benxiong ; Li, Zhengxi |
| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Bus service is the most important function of public transportation. Besides the major goal of carrying passengers around, providing a comfortable travel experience for passengers is also a key business consideration. To provide a comfortable travel experience, effective bus scheduling is essential. Traditional approaches are based on fixed timetables. The wide adoptions of smart card fare collection systems and GPS tracing systems in public transportation provide new opportunities for using the data-driven approaches to fit the demand of passengers. In this paper, we associate these two independent data sets to derive the passengers' origin and destination. As the data are real time, we build a system to forecast the passenger flow in real time. To the best of our knowledge, this is the first paper, which implements a system utilizing smart card data and GPS data to forecast the passenger flow in real time. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12537]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS |
| 推荐引用方式 GB/T 7714 | Zhang, Jun , Shen, Dayong , Tu, La ,et al. A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems.[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2017. |
| APA | Zhang, Jun ., Shen, Dayong ., Tu, La ., Zhang, Fan ., Xu, Chengzhong .,...& Li, Zhengxi.(2017).A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems..IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. |
| MLA | Zhang, Jun ,et al."A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems.".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。