On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach

Zhou, M; Qu, X; Jin, S

On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach

Zhou, M

Qu, X

Jin, S

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Intelligent Transportation Systems, 2017, 18 (6), pp. 1422 - 1428
Issue Date:: 2017-06-01

Closed Access

	Filename	Description	Size
	07579627.pdf	Published Version	1.78 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhou, M https://orcid.org/0000-0002-0321-0885	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Jin, S	en_US
dc.date.issued	2017-06-01	en_US
dc.identifier.citation	IEEE Transactions on Intelligent Transportation Systems, 2017, 18 (6), pp. 1422 - 1428	en_US
dc.identifier.issn	1524-9050	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124776
dc.description.abstract	© 2000-2011 IEEE. Transport researchers and practitioners have long been seeking capable solutions to deal with the traffic oscillations caused by freeway merging. Although existing approaches based on ramp metering have improved the overall efficiency of on-ramps, their performance is still far below the theoretical capacity. The recently proposed detecting technology of autonomous vehicles (AVs) provides an alternative for maximizing the merging efficiency by developing and using appropriate controllers for AVs. In this paper, we develop a cooperative intelligent driver model in order to examine the system performance under different proportions of AVs. The results show that, with a proper vehicle-to-vehicle controlling mechanism, an increasing percentage of AVs will reduce the total travel time and smooth traffic oscillations.	en_US
dc.relation.ispartof	IEEE Transactions on Intelligent Transportation Systems	en_US
dc.relation.isbasedon	10.1109/TITS.2016.2606492	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	18	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1507 Transportation and Freight Services	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2000-2011 IEEE. Transport researchers and practitioners have long been seeking capable solutions to deal with the traffic oscillations caused by freeway merging. Although existing approaches based on ramp metering have improved the overall efficiency of on-ramps, their performance is still far below the theoretical capacity. The recently proposed detecting technology of autonomous vehicles (AVs) provides an alternative for maximizing the merging efficiency by developing and using appropriate controllers for AVs. In this paper, we develop a cooperative intelligent driver model in order to examine the system performance under different proportions of AVs. The results show that, with a proper vehicle-to-vehicle controlling mechanism, an increasing percentage of AVs will reduce the total travel time and smooth traffic oscillations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/124776