Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots
Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots
About this item
Full title
Author / Creator
Zhang, Qi , Li, Yan , Chen, Hong and Liu, Zhizhen
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
More information
Scope and Contents
Contents
Accurate taxi demand prediction can solve the congestion problem caused by the supply-demand imbalance. However, most taxi demand studies are based on historical taxi trajectory data. In this study, we detected hotspots and proposed three methods to predict the taxi demand in hotspots. Next, we compared the predictive effect of the random forest mo...
Alternative Titles
Full title
Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e8862e4aa5634d228d4f49c8ebacef40
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e8862e4aa5634d228d4f49c8ebacef40
Other Identifiers
ISSN
0197-6729
E-ISSN
2042-3195
DOI
10.1155/2020/1302586
