A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service-Reference-Cited by-同舟云学术

A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service

Published:2020-11 Issue: Volume:120 Page:102786
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Kim Taehooie,Sharda Shivam,Zhou Xuesong,Pendyala Ram M.

Funder

U.S. Department of Transportation

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference57 articles.

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