Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101950
Title: From data to knowledge to action : a taxi business intelligence system
Authors: Wang, Chenggang
Ng, Wee Keong
Chen, Huaixin
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2012
Source: Wang, C., Ng, W. K., & Chen, H. (2012). From data to knowledge to action: A taxi business intelligence system. 2012 15th International Conference on Information Fusion (FUSION), 1623-1628.
Abstract: Taxis play an important role in offering comfortable and flexible service within Singapore's public transport system. Due to the inherent randomness in taxi service system, many taxi companies still rely on the drivers' experience to seek passengers. Today, Singapore's five taxi companies now use some form of wireless and GPS (Global Position System) satellite to track taxis traveling in urban area. GPS-equipped taxis can be viewed as ubiquitous mobile sensors which enable us to collect large amounts of location traces of individuals or objects. In this paper, we first investigate the characteristics of travel behavior of urban population. Next, a taxi business intelligence system is proposed to explore the massive transportation data based on spatial-temporal data mining techniques. Furthermore, various taxi business models are created to make comprehensive analysis on taxi business problems. Finally, the value of the taxi business intelligence system is demonstrated by applying it to some real-world scenarios. Results show that this system can significantly improve the quality of taxi services.
URI: https://hdl.handle.net/10356/101950
http://hdl.handle.net/10220/19823
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290499
Rights: © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290499. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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