Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints

Wang, Chaojie; Gong, Siyuan; Zhou, Anye; Li, Tao; Peeta, Srinivas; Georgia Institute of Technology; Chang’an University; Purdue University

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Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints

2019-01-01
By Wang, Chaojie ; Gong, Siyuan ; Zhou, Anye ; ...

[PDF-1.34 MB]

English

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Creators:

Wang, Chaojie ; Gong, Siyuan ; Zhou, Anye ; Li, Tao ; Peeta, Srinivas

Wang, Chaojie ; Gong, Siyuan ; Zhou, Anye ; Li, Tao ; Peeta, Srinivas Less -
Corporate Creators:

Georgia Institute of Technology ; Chang’an University ; Purdue University

Georgia Institute of Technology ; Chang’an University ; Purdue University Less -
Subject/TRT Terms:

[+]

Autonomous Intelligent Cruise Control Connected Vehicles Intelligent Vehicles Wireless Communication Systems
Publication/ Report Number:

19-00155
Resource Type:

Presentations
Geographical Coverage:

United States
Corporate Publisher:

Georgia Institute of Technology ; Purdue University

Georgia Institute of Technology ; Purdue University Less -
Abstract:

This study proposes a novel CACC strategy, CACC-OIFT, to explicitly factor IFT dynamics and to leverage it to enhance the platoon performance in an unreliable V2V communication context for a pure CAV platoon.
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PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:bbf9a9a272f6aa69bd9f68784f0c8795b6b6be83e2e3a506fb3108310baba5cf
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https://rosap.ntl.bts.gov/view/dot/66678/dot_66678_DS1.pdf
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Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints

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