A data-driven lane-changing model based on deep learning-Reference-Cited by-同舟云学术

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A data-driven lane-changing model based on deep learning

Published:2019-09 Issue: Volume:106 Page:41-60
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Xie Dong-Fan^ORCID,Fang Zhe-Zhe,Jia Bin,He Zhengbing

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference65 articles.

1. Models of freeway lane changing and gap acceptance behaviour;Ahmed,1996

2. Freeway traffic oscillations and vehicle lane-change maneuvers;Ahn,2007

3. Improving trafic ow prediction with weather information in connected cars: a deep learning approach;Arief,2016

4. Increasing the capacity of an isolated merge by metering its on-ramp;Cassidy;Transp. Res. Part B: Methodol.,2005

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