A comparison of learning methods over raw data: forecasting cab services market share in New York City-Reference-Cited by-同舟云学术

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A comparison of learning methods over raw data: forecasting cab services market share in New York City

Published:2018-07-13 Issue:21 Volume:78 Page:29783-29804
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Turrado García Fernando,García Villalba Luis Javier,Sandoval Orozco Ana Lucila,Kim Tai-Hoon

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6285-x.pdf

Reference37 articles.

1. Aarhaug J, Skollerud K (2014) Taxi: different solutions in different segments. Transportation Research Procedia 1(1):276–283

2. Adusumilli S, Bhatt D, Wang H, Devabhaktuni V, Bhattacharya P (2015) A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of gps outages. Neurocomputing 166:185–192

3. Ahmed MS, Cook AR (1979) Analysis of freeway traffic Time-Series data by using Box-Jenkins techniques. Transportation Research Board

4. Azevedo CL, Cardoso JL, Ben-Akiva M (2014) Vehicle tracking using the k-shortest paths algorithm and dual graphs. Transportation Research Procedia 1(1):3–11

5. Bloomberg MR, Yasski D (2014) Factbook. http://www.nyc.gov/html/tlc/downloads/pdf/2014_taxicab_fact_book.pdf

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