Inference of HDVs real-time locations in mixed autonomous traffic flow scenario-Reference-Cited by-同舟云学术

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Inference of HDVs real-time locations in mixed autonomous traffic flow scenario

Published:2021-12-02 Issue: Volume: Page:1-31
ISSN:2168-0566
Container-title:Transportmetrica B: Transport Dynamics
language:en
Short-container-title:Transportmetrica B: Transport Dynamics

Author:

Qi Hongsheng¹²,Chen Peng³,Ying Yuyan¹

Affiliation:

1. Center for Balance Architecture, Zhejiang University, HangZhou, People’s Republic of China

2. The Architectural & Research Institute of Zhejiang University CoLtd, HangZhou, People’s Republic of China

3. 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

The ministry of education in china project of humanities and social science

Zhejiang University

Publisher

Informa UK Limited

Subject

Transportation,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/21680566.2021.2007815

Reference24 articles.

1. A k-leader fuel-efficient traffic model

2. Localization Prediction in Vehicular Ad Hoc Networks

3. Highway Traffic State Estimation With Mixed Connected and Conventional Vehicles

4. Fundamentals of Object Tracking

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1. Elevating adaptive traffic signal control in semi‐autonomous traffic dynamics by using connected and automated vehicles as probes;IET Intelligent Transport Systems;2024-01-21

2. Traffic operation for longer battery life of connected automated vehicles in signal-free networks;Transportmetrica B: Transport Dynamics;2023-06-13

3. A cooperative merging speed control strategy of CAVs based on virtual platoon in on-ramp merging system;Transportmetrica B: Transport Dynamics;2023-05-27

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