NDLI: Taxi origin-destination areas of interest discovering based on functional region division

Content Provider	IEEE Xplore Digital Library
Author	Xuejin Wan Mengdan Gao Jianchu Kang Jianling Zhao
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China (Xuejin Wan; Mengdan Gao; Jianchu Kang; Jianling Zhao)
Abstract	This paper introduced a new method to discover the taxi Origin-Destination areas of interest based on functional region division to resolve the problem that taxis distribution is unreasonable. The problem occurs due to dispatching taxis is not in line with the taxi demand in different functional regions during different time periods. The method proposed in this paper clustered taxi Origin-Destination data points of the functional region with the improved DB-SCAN algorithm and yielded the areas of interest with the statistical method named Chi-square distribution. The accuracy and credibility of the method was evaluated through two indicators called coverage and hit ratio and a comparison analysis on situations of different regions. The experiment proved that the proposed method can effectively discover and predicted the taxi Origin-Destination areas of interest in different functional regions in different time periods.
Starting Page	365
Ending Page	370
File Size	590144
Page Count	6
File Format	PDF
e-ISBN	9781479900480
DOI	10.1109/INTECH.2013.6653677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-29
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Roads Functional region;taxi OD areas of interest;taxi dispatch Clustering algorithms Cities and towns Educational institutions Data mining Chi-square distribution Global Positioning System
Content Type	Text
Resource Type	Article

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