Analysing driving efficiency of mandatory lane change decision for autonomous vehicles-Reference-Cited by-同舟云学术

Analysing driving efficiency of mandatory lane change decision for autonomous vehicles

Published:2018-10-29 Issue:3 Volume:13 Page:506-514
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Cao Peng¹²^ORCID,Xu Zhandong¹,Fan Qiaochu¹,Liu Xiaobo¹²^ORCID

Affiliation:

1. School of Transportation and Logistics, Southwest Jiaotong UniversityNo.111 Erhuanlu Beiyiduan610031ChengduPeople's Republic of China

2. National Engineering Laboratory of Integrated Transportation Big Data Application TechnologySouthwest Jiaotong UniversityNo.111 Erhuanlu Beiyiduan610031ChengduPeople's Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5253

Reference42 articles.

1. LitmanT.: ‘Autonomous vehicle implementation predictions’ Victoria Transport Policy Institute 28 2014. Available athttp://www.vtpi.org/avip.pdf[accessed on 15 April 2017]

2. National Highway Traffic Safety Administration. 2013

3. J3016: ‘SAE international. Taxonomy and definitions for terms related to on‐road motor vehicle automated driving systems. Society for automotive engineers international’ 2014

4. Smart cars on smart roads: problems of control

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