Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information-Reference-Cited by-同舟云学术

Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information

Published:2021-05-06 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Rahman Md. Hishamur¹^ORCID,Rifaat Shakil Mohammad²

Affiliation:

1. Department of Civil Engineering International University of Business Agriculture and Technology Dhaka Bangladesh

2. Department of Civil and Environmental Engineering Islamic University of Technology Gazipur Bangladesh

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12073

Reference54 articles.

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4. Short‐term forecasting of passenger demand under on‐demand ride services: A spatio‐temporal deep learning approach;Ke J.;Transp. Res. Part C Emerg. Technol.,2017

5. Predicting Taxi–Passenger Demand Using Streaming Data

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