[1]XIAO Yanli,ZHANG Zhenyu,YANG Wenzhong.Research of the identification methods for transportation modes based on mobile data[J].CAAI Transactions on Intelligent Systems,2014,9(5):536-543.[doi:10.3969/j.issn.1673-4785.201404045]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 5
Page number:
536-543
Column:
学术论文—机器感知与模式识别
Public date:
2014-10-25
- Title:
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Research of the identification methods for transportation modes based on mobile data
- Author(s):
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XIAO Yanli; ZHANG Zhenyu; YANG Wenzhong
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School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
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- Keywords:
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identification of transportation modes; user behavior; mobile data; wireless network technology; sensors
- CLC:
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TP18
- DOI:
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10.3969/j.issn.1673-4785.201404045
- Abstract:
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Identification of different transportation modes in the process of user travel plays an important role in understanding individuals’ mobility, analyzing and forecasting traffic conditions and mining social activity pattern. With the rapid development of wireless network technology, more and more sensors are used to collect mobile data. Specially, how to accurately identify user’s different transportation modes from the collected data has been extensively researched in recent years. In addition, the methods of identification proposed from different points of view to solve the problem were studied in this paper. Each method and its application was introduced in detail and then classified and researched, respectively. The focus of analysis is put on the characteristics of each method. The levels of the recognition accuracy of different methods under different conditions were analyzed in table form. Finally, the research directions of the identification methods for transportation modes were further discussed.