Real-time traffic flow topology sensing in partial vehicular ad hoc network: a deep learning solution-Reference-Cited by-同舟云学术

Real-time traffic flow topology sensing in partial vehicular ad hoc network: a deep learning solution

Published:2021-10-02 Issue: Volume: Page:1-28
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Qi Hongsheng¹²,Chen Peng³

Affiliation:

1. Center for Balance Architecture, Zhejiang University, Hangzhou, People's Republic of China

2. Department of municipal traffic, The Architectural & Research Institute of Zhejiang University Co, Ltd, HangZhou, China

3. Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, People's Republic of China

Funder

Key Research and Development Program of China

National Natural Science Foundation of China

Ministry of Education Project of Humanities and Social Science of China

Zhejiang University

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1977413

Reference14 articles.

1. Cooperative Position Prediction: Beyond Vehicle-to-Vehicle Relative Positioning

2. Multimodal vehicle detection: fusing 3D-LIDAR and color camera data

3. Localization Prediction in Vehicular Ad Hoc Networks

4. Fundamentals of Object Tracking

5. Queue length estimation from probe vehicle location and the impacts of sample size

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