Cooperative decision making for connected automated vehicles in multiple driving scenarios-Reference-Cited by-同舟云学术

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Cooperative decision making for connected automated vehicles in multiple driving scenarios

Published:2022-11-06 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Wang Jinzhu¹,Ma Zhixiong¹,Zhu Xichan¹,Bai Jie²,Huang Libo²

Affiliation:

1. School of Automotives Studies Tongji University Shanghai China

2. Zhejiang University City College Zhejiang China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12309

Reference34 articles.

1. Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey

2. Automated driving on public roads: Experiences in real traffic;Pink O.;it‐Information Technol.,2015

3. Autonomous driving in urban environments: Boss and the Urban Challenge

4. Junior: The Stanford entry in the Urban Challenge

5. Schulz J. Hirsenkorn K. Lochner J. Werling M. Burschka D.:Estimation of collective maneuvers through cooperative multi‐agent planning. In:Proceedings of Intelligent Vehicles Symposium pp.624–631(2017)

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1. Managing merging from a dedicated CAV lane into a conventional lane considering the stochasticity of connected human-driven vehicles;Physica A: Statistical Mechanics and its Applications;2024-10

2. A Cooperative Control Methodology Considering Dynamic Interaction for Multiple Connected and Automated Vehicles in the Merging Zone;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. Learning eco-driving strategies from human driving trajectories;Physica A: Statistical Mechanics and its Applications;2024-01

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