Understanding Temporal and Spatial Travel Patterns of Individual Passengers by Mining Smart Card Data Data | |
Juanjuan Zhao; Chen Tian; Fan Zhang; Chengzhong Xu; Shengzhong Feng | |
2014 | |
会议名称 | 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014) |
会议地点 | Qingdao |
英文摘要 | Metro systems have become the most preferred public transit services in many cities. It is important to understand individual passengers' spatio-temporal travelpatterns inside metro. More specifically, for a specific passenger: what is thetemporal access pattern? what is the spatio access pattern? is there any relationship between the temporal and spatio patterns? is this passenger's patternsnormal or special? Answer all these questions can help us understanding the major reasons of why this passenger takes metro. In this paper, we analyze and understandthe spatio-temporal travel patterns of individual passengers in Shenzhen, China. A systematic approach is proposed to extract temporal, spatial and anomaly features related to metro passengers. We analyze one month smart card data collected from Shenzhen. Combined with bus transaction data, we give an in-depth analysis and explanations for different groups. |
收录类别 | 其他 |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6053] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2014 |
推荐引用方式 GB/T 7714 | Juanjuan Zhao,Chen Tian,Fan Zhang,et al. Understanding Temporal and Spatial Travel Patterns of Individual Passengers by Mining Smart Card Data Data[C]. 见:2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014) . Qingdao. |
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