A deep neural network approach for pedestrian trajectory prediction considering flow heterogeneity-Reference-Cited by-同舟云学术

A deep neural network approach for pedestrian trajectory prediction considering flow heterogeneity

Published:2022-03-03 Issue:1 Volume:19 Page:
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Nasr Esfahani Hossein¹,Song Ziqi¹,Christensen Keith²

Affiliation:

1. Department of Civil and Environmental Engineering, Utah State University, Logan, UT, USA

2. Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT, USA

Funder

Department of Health and Human Services

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2022.2036262

Reference55 articles.

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5. Brault, Matthew W. 2012. Americans with Disabilities: 2010. US Department of Commerce, Economics and Statistics Administration, US … .

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