Minimizing the Average Delay at Intersections via Presignals and Speed Control

Ghanbarikarekani, M; Qu, X; Zeibots, M; Qi, W

Minimizing the Average Delay at Intersections via Presignals and Speed Control

Ghanbarikarekani, M

Qu, X

Zeibots, M

Qi, W

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Publication Type:: Journal Article
Citation:: Journal of Advanced Transportation, 2018, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Ghanbarikarekani, M https://orcid.org/0000-0003-4094-3591	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Zeibots, M https://orcid.org/0000-0001-8758-8713	en_US
dc.contributor.author	Qi, W https://orcid.org/0000-0002-8908-3927	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Journal of Advanced Transportation, 2018, 2018	en_US
dc.identifier.issn	0197-6729	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131638
dc.description.abstract	© 2018 Mina Ghanbarikarekani et al. Urban intersections have been well recognized as bottlenecks of urban transport systems. It is thus important to propose and implement strategies for increasing the efficiency of public and private transportation systems as a whole. In order to achieve this goal, an additional signal could be set up near the intersection to give priority to buses through stopping vehicles in advance of the main intersection as a presignal. It has been increasingly popular in urban cities. While presignals indeed reduce the average delay per traveler, they cause extra stops of private vehicles, which might compromise the overall efficiency, safety, and sustainability. This paper aims to propose a model to improve presignals by reducing the vehicles' number of stops behind the presignals. By applying the method, vehicles would be able to adjust their speed based on traffic conditions as well as buses' speed and approach. Numerical analyses have been conducted to determine the conditions required for implementing this method.	en_US
dc.relation.ispartof	Journal of Advanced Transportation	en_US
dc.relation.isbasedon	10.1155/2018/4121582	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.title	Minimizing the Average Delay at Intersections via Presignals and Speed Control	en_US
dc.type	Journal Article
utslib.citation.volume	2018	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1507 Transportation and Freight Services	en_US
utslib.for	0102 Applied Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
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
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2018	en_US

Abstract:

© 2018 Mina Ghanbarikarekani et al. Urban intersections have been well recognized as bottlenecks of urban transport systems. It is thus important to propose and implement strategies for increasing the efficiency of public and private transportation systems as a whole. In order to achieve this goal, an additional signal could be set up near the intersection to give priority to buses through stopping vehicles in advance of the main intersection as a presignal. It has been increasingly popular in urban cities. While presignals indeed reduce the average delay per traveler, they cause extra stops of private vehicles, which might compromise the overall efficiency, safety, and sustainability. This paper aims to propose a model to improve presignals by reducing the vehicles' number of stops behind the presignals. By applying the method, vehicles would be able to adjust their speed based on traffic conditions as well as buses' speed and approach. Numerical analyses have been conducted to determine the conditions required for implementing this method.

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

http://hdl.handle.net/10453/131638