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Conference Paper: A spatial queuing approach to optimize coordinated signal settings to obviate gridlock in adjacent work zones
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TitleA spatial queuing approach to optimize coordinated signal settings to obviate gridlock in adjacent work zones
 
AuthorsWong, CK2
Wong, SC1
Lo, HK3
 
KeywordsCell Transmission Model
Gridlock
Signal Coordination
Spatial Queue
Work Zones
 
Issue Date2010
 
PublisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://www.advanced-transport.com
 
CitationJournal Of Advanced Transportation, 2010, v. 44 n. 4, p. 231-244 [How to Cite?]
DOI: http://dx.doi.org/10.1002/atr.123
 
AbstractGridlock is defined when traffic comes to a complete halt inducing huge delays. If a work zone on a two-lane two-way highway is set up, in which one of the traffic lanes is closed for maintenance road works, the remaining lane has to be controlled to serve the two-way traffic alternatively. The study objective is to optimize the traffic signal controls across two closely spaced work zones to prevent a gridlock, which can occur easily if upstream and downstream signals are not well coordinated. When vehicle queues build up in the middle sections between two work zones and further expand to occupy the single available lanes in both directions, the two-way traffic is then blocked and no vehicle can leave from the queues generating a gridlock. To address this problem, spatial queues are important parameters that must be explicitly analyzed. The cell transmission model, which is known to be a robust mathematical tool for the modeling of queue dynamics, is adopted in this study. A signal cell is used to represent each traffic signal control, the exit flow capacity of which is defined in accordance with the signal plan. A set of linear constraints is established to relate all of the model parameters and variables. The objective function is taken as the total number of vehicles in the critical section between the two work zones. The minimization of this objective function can effectively obviate the occurrence of a gridlock. The optimization problem is formulated as a Binary-Mixed- Integer-Linear-Program that can be solved by the standard branch-and-bound technique. Numerical examples are given to demonstrate the effectiveness of the proposed methodology. Copyright © 2010 John Wiley & Sons, Ltd.
 
ISSN0197-6729
2012 Impact Factor: 0.733
2012 SCImago Journal Rankings: 0.501
 
DOIhttp://dx.doi.org/10.1002/atr.123
 
ISI Accession Number IDWOS:000282784200003
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorWong, CK
 
dc.contributor.authorWong, SC
 
dc.contributor.authorLo, HK
 
dc.date.accessioned2012-06-26T06:35:45Z
 
dc.date.available2012-06-26T06:35:45Z
 
dc.date.issued2010
 
dc.description.abstractGridlock is defined when traffic comes to a complete halt inducing huge delays. If a work zone on a two-lane two-way highway is set up, in which one of the traffic lanes is closed for maintenance road works, the remaining lane has to be controlled to serve the two-way traffic alternatively. The study objective is to optimize the traffic signal controls across two closely spaced work zones to prevent a gridlock, which can occur easily if upstream and downstream signals are not well coordinated. When vehicle queues build up in the middle sections between two work zones and further expand to occupy the single available lanes in both directions, the two-way traffic is then blocked and no vehicle can leave from the queues generating a gridlock. To address this problem, spatial queues are important parameters that must be explicitly analyzed. The cell transmission model, which is known to be a robust mathematical tool for the modeling of queue dynamics, is adopted in this study. A signal cell is used to represent each traffic signal control, the exit flow capacity of which is defined in accordance with the signal plan. A set of linear constraints is established to relate all of the model parameters and variables. The objective function is taken as the total number of vehicles in the critical section between the two work zones. The minimization of this objective function can effectively obviate the occurrence of a gridlock. The optimization problem is formulated as a Binary-Mixed- Integer-Linear-Program that can be solved by the standard branch-and-bound technique. Numerical examples are given to demonstrate the effectiveness of the proposed methodology. Copyright © 2010 John Wiley & Sons, Ltd.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationJournal Of Advanced Transportation, 2010, v. 44 n. 4, p. 231-244 [How to Cite?]
DOI: http://dx.doi.org/10.1002/atr.123
 
dc.identifier.doihttp://dx.doi.org/10.1002/atr.123
 
dc.identifier.epage244
 
dc.identifier.hkuros183351
 
dc.identifier.isiWOS:000282784200003
 
dc.identifier.issn0197-6729
2012 Impact Factor: 0.733
2012 SCImago Journal Rankings: 0.501
 
dc.identifier.issue4
 
dc.identifier.scopuseid_2-s2.0-77958077830
 
dc.identifier.spage231
 
dc.identifier.urihttp://hdl.handle.net/10722/152166
 
dc.identifier.volume44
 
dc.languageeng
 
dc.publisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://www.advanced-transport.com
 
dc.publisher.placeUnited States
 
dc.relation.ispartofJournal of Advanced Transportation
 
dc.relation.referencesReferences in Scopus
 
dc.subjectCell Transmission Model
 
dc.subjectGridlock
 
dc.subjectSignal Coordination
 
dc.subjectSpatial Queue
 
dc.subjectWork Zones
 
dc.titleA spatial queuing approach to optimize coordinated signal settings to obviate gridlock in adjacent work zones
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong
  2. City University of Hong Kong
  3. Hong Kong University of Science and Technology