CITY-SCALE TAXI DEMAND PREDICTION USING MULTISOURCE URBAN GEOSPATIAL DATA

Real-time, accurate taxi demand prediction plays an important role in intelligent traffic system. It can help manage taxi patching and minimize the time and energy waste caused by waiting. In the era of big data, a diversity of urban data and increasingly complex traffic data have been collected and...

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Bibliographic Details
Main Authors: J. Yan, L. Xiang, C. Wu, H. Wu
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/213/2020/isprs-archives-XLIII-B4-2020-213-2020.pdf