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

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

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

Public Domain

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

File Language:

English

Details

Creators:

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

Georgia Institute of Technology ; Chang’an University ; Purdue University
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
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.
Format:

PDF
Collection(s):

US Transportation Collection Autonomous Vehicles
Main Document Checksum:

urn:sha-512:37485d52cd1464b06b8059f089276bb05117d4674305c495f5fff754e8240f5220c790be64e9dc932a0df9ccbe6ff7a2b9906ad90b4a5dd2b94a709afa18b297
Download URL:

https://rosap.ntl.bts.gov/view/dot/66678/dot_66678_DS1.pdf
File Type:

[PDF - 1.34 MB ]

File Language:

English

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