SpatioTemporal Segmentation of Metro Trips Using Smart Card Data
文献类型：期刊论文
| 作者 | Fan Zhang; Juanjuan Zhao; Chen Tian; Chengzhong Xu; Xue Liu; Lei Rao |
| 刊名 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
 |
| 出版日期 | 2016 |
| 英文摘要 | Contactless smart card systems have gained universal prevalence in modern metros. In addition to its original goal of ticketing, the large amount of transaction data collected by the smart card system can be utilized for many operational and management purposes. This paper investigates an important problem: how to extract spatio-temporal segmentation information of trips inside a metro system. More specifically, for a given trip, we want to answer several key questions: how long it takes for a passenger to walk from the station gantry to the station platform? How much time he/she waits for the next train? How long he/she spends on the train? How long it takes to transfer from one line to another? etc. This segmentation information is important for many application scenarios such as travel time prediction, travel planning, and transportation scheduling. However, in reality we only assume that only each trip’s tap-in and tap-out time can be directly obtained; all other temporal endpoints of segments are unknown. This makes the research very challenging. To the best of our knowledge, we are the first to give a practical solution to this important problem. By analyzing the tap-in/tap-out events pattern, our intuition is to pinpoint some special passengers whose transaction data can be very helpful for segmentation. A novel methodology is proposed to extract spatio-temporal segmentation information: first for non-transfer trips by deriving the boarding time between the gantry and the platform, then for with-transfer trips by deriving the transfer time. Evaluation studies are based on a large scale real-system data of Shenzhen metro system, which is one of the largest metro systems in China and serves millions of passengers daily. On-site investigations validate that our algorithm is accurate and the average estimation error is only around 15%. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7060660&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A4356907%29%26rowsPerPage%3D100 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10233]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
| 推荐引用方式 GB/T 7714 | Fan Zhang,Juanjuan Zhao,Chen Tian,et al. SpatioTemporal Segmentation of Metro Trips Using Smart Card Data[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2016. |
| APA | Fan Zhang,Juanjuan Zhao,Chen Tian,Chengzhong Xu,Xue Liu,&Lei Rao.(2016).SpatioTemporal Segmentation of Metro Trips Using Smart Card Data.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. |
| MLA | Fan Zhang,et al."SpatioTemporal Segmentation of Metro Trips Using Smart Card Data".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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