Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment

Jackeline Rios-Torres; Zulqarnain Khattak; Jihun Han; Chieh Wang; Hyeonsup Lim

doi:10.1109/ITSC48978.2021.9564523

Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment

Jackeline Rios-Torres, Zulqarnain Khattak, Jihun Han, Chieh Wang, Hyeonsup Lim

Transportation Analytics & Decision Scie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Previous efforts to explore the implications of partial market penetration of connected and automated vehicles (CAVs) show a consensus on the benefits of higher market penetration rates (MPR) of vehicles enabled with connectivity and/or automation. There is, however, a level of uncertainty regarding the effects of lower market penetration rates and the consideration of heterogeneous vehicle fleets. Using VISSIM to perform microscopic traffic simulation and, vehicle simulation models, we assess the impacts of different CAVs market penetration rates on fuel consumption considering a heterogeneous traffic environment. The results show that the fuel efficiency benefits of optimal coordination control are maximized in moderate congested scenarios when the CAVs MPR exceeds 40%.

Original language	English
Title of host publication	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1098-1104
Number of pages	7
ISBN (Electronic)	9781728191423
DOIs	https://doi.org/10.1109/ITSC48978.2021.9564523
State	Published - Sep 19 2021
Event	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States Duration: Sep 19 2021 → Sep 22 2021

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2021-September

Conference

Conference	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Country/Territory	United States
City	Indianapolis
Period	09/19/21 → 09/22/21

Funding

This manuscript has been authored by UT-Battell.e, LLC, under contract DE-AC05-000R22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irre vocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in ac cordance with the DOE Public Access Plan (http://energy.gov/downloads/doepublic-access-plan).

Funders	Funder number
U.S. Department of Energy

Keywords

Automated Merging Control
Connected and Automated Vehicles
Cooperative Driving
Heterogeneous traffic
Highway On-ramps
Market Penetration Effect
Merging Highways
Optimal Merging Control

Access to Document

10.1109/ITSC48978.2021.9564523

Cite this

Rios-Torres, J., Khattak, Z., Han, J., Wang, C., & Lim, H. (2021). Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment. In 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (pp. 1098-1104). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC48978.2021.9564523

Rios-Torres, Jackeline ; Khattak, Zulqarnain ; Han, Jihun et al. / Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment. 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1098-1104 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

@inproceedings{a4cdec0459154078b08053d966fc6e90,

title = "Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment",

abstract = "Previous efforts to explore the implications of partial market penetration of connected and automated vehicles (CAVs) show a consensus on the benefits of higher market penetration rates (MPR) of vehicles enabled with connectivity and/or automation. There is, however, a level of uncertainty regarding the effects of lower market penetration rates and the consideration of heterogeneous vehicle fleets. Using VISSIM to perform microscopic traffic simulation and, vehicle simulation models, we assess the impacts of different CAVs market penetration rates on fuel consumption considering a heterogeneous traffic environment. The results show that the fuel efficiency benefits of optimal coordination control are maximized in moderate congested scenarios when the CAVs MPR exceeds 40%.",

keywords = "Automated Merging Control, Connected and Automated Vehicles, Cooperative Driving, Heterogeneous traffic, Highway On-ramps, Market Penetration Effect, Merging Highways, Optimal Merging Control",

author = "Jackeline Rios-Torres and Zulqarnain Khattak and Jihun Han and Chieh Wang and Hyeonsup Lim",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 ; Conference date: 19-09-2021 Through 22-09-2021",

year = "2021",

month = sep,

day = "19",

doi = "10.1109/ITSC48978.2021.9564523",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1098--1104",

booktitle = "2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021",

}

Rios-Torres, J, Khattak, Z, Han, J, Wang, C & Lim, H 2021, Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment. in 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., pp. 1098-1104, 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, United States, 09/19/21. https://doi.org/10.1109/ITSC48978.2021.9564523

Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment. / Rios-Torres, Jackeline; Khattak, Zulqarnain; Han, Jihun et al.
2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1098-1104 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment

AU - Rios-Torres, Jackeline

AU - Khattak, Zulqarnain

AU - Han, Jihun

AU - Wang, Chieh

AU - Lim, Hyeonsup

PY - 2021/9/19

Y1 - 2021/9/19

N2 - Previous efforts to explore the implications of partial market penetration of connected and automated vehicles (CAVs) show a consensus on the benefits of higher market penetration rates (MPR) of vehicles enabled with connectivity and/or automation. There is, however, a level of uncertainty regarding the effects of lower market penetration rates and the consideration of heterogeneous vehicle fleets. Using VISSIM to perform microscopic traffic simulation and, vehicle simulation models, we assess the impacts of different CAVs market penetration rates on fuel consumption considering a heterogeneous traffic environment. The results show that the fuel efficiency benefits of optimal coordination control are maximized in moderate congested scenarios when the CAVs MPR exceeds 40%.

AB - Previous efforts to explore the implications of partial market penetration of connected and automated vehicles (CAVs) show a consensus on the benefits of higher market penetration rates (MPR) of vehicles enabled with connectivity and/or automation. There is, however, a level of uncertainty regarding the effects of lower market penetration rates and the consideration of heterogeneous vehicle fleets. Using VISSIM to perform microscopic traffic simulation and, vehicle simulation models, we assess the impacts of different CAVs market penetration rates on fuel consumption considering a heterogeneous traffic environment. The results show that the fuel efficiency benefits of optimal coordination control are maximized in moderate congested scenarios when the CAVs MPR exceeds 40%.

KW - Automated Merging Control

KW - Connected and Automated Vehicles

KW - Cooperative Driving

KW - Heterogeneous traffic

KW - Highway On-ramps

KW - Market Penetration Effect

KW - Merging Highways

KW - Optimal Merging Control

UR - http://www.scopus.com/inward/record.url?scp=85118443586&partnerID=8YFLogxK

U2 - 10.1109/ITSC48978.2021.9564523

DO - 10.1109/ITSC48978.2021.9564523

M3 - Conference contribution

AN - SCOPUS:85118443586

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 1098

EP - 1104

BT - 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021

Y2 - 19 September 2021 through 22 September 2021

ER -

Rios-Torres J, Khattak Z, Han J, Wang C , Lim H. Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment. In 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1098-1104. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC48978.2021.9564523

Assessing the Implications of Automated Merging Control in a Mixed and Heterogeneous Traffic Environment

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this