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Article: Enhanced lagged cell-transmission model for dynamic traffic assignment

TitleEnhanced lagged cell-transmission model for dynamic traffic assignment
Authors
KeywordsIntelligent Vehicle Highway Systems
Transportation
Vehicle Locating Systems
Issue Date2008
PublisherUS National Research Council, Transportation Research Board. The Journal's web site is located at http://www.trb.org/Publications/Public/PubsTRRJournalPrint.aspx
Citation
Transportation Research Record, 2008 n. 2085, p. 76-85 How to Cite?
AbstractThe lagged cell-transmission model (L-CTM) is an enhanced version of the CTM. Both can be incorporated into a dynamic traffic assignment framework for offline transport planning and policy evaluation and online intelligent transportation system applications. In contrast to the CTM, the L-CTM adopts a nonconcave flow-density relation, which can be used to predict the existence of rather dense traffic in queues coasting toward the end of the queue or to help disprove the existence of this phenomenon. However, this study shows that the L-CTM can yield unrealistic densities, namely, negative densities and densities higher than theoretical jam density, the former of which has not been addressed in the literature. To cope with these unrealistic results, this study improves the L-CTM by introducing one more term in each sending and receiving function of the model. The improved model, the enhanced L-CTM (EL-CTM), is proved to yield nonnegative densities not greater than the jam density but can still allow the use of nonconcave density relations. The EL-CTM yields Lighthill-Whitham- Richards solutions when cell lengths and time intervals tend to zero and includes the CTM and the L-CTM as special cases. The EL-CTM is also shown to give more accurate solutions than the L-CTM (and hence also the CTM) does under a small increase in computation time. Hence the EL-CTM is believed to be more suitable for both online and offline applications in the future.
Persistent Identifierhttp://hdl.handle.net/10722/91233
ISSN
2015 Impact Factor: 0.522
2015 SCImago Journal Rankings: 0.474
ISI Accession Number ID
Funding AgencyGrant Number
National University of Singapore
Funding Information:

This research was sponsored by a start-up grant from the National University of Singapore. The author is grateful to the anonymous referees for their valuable and constructive comments.

References

 

DC FieldValueLanguage
dc.contributor.authorSzeto, WYen_HK
dc.date.accessioned2010-09-17T10:15:17Z-
dc.date.available2010-09-17T10:15:17Z-
dc.date.issued2008en_HK
dc.identifier.citationTransportation Research Record, 2008 n. 2085, p. 76-85en_HK
dc.identifier.issn0361-1981en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91233-
dc.description.abstractThe lagged cell-transmission model (L-CTM) is an enhanced version of the CTM. Both can be incorporated into a dynamic traffic assignment framework for offline transport planning and policy evaluation and online intelligent transportation system applications. In contrast to the CTM, the L-CTM adopts a nonconcave flow-density relation, which can be used to predict the existence of rather dense traffic in queues coasting toward the end of the queue or to help disprove the existence of this phenomenon. However, this study shows that the L-CTM can yield unrealistic densities, namely, negative densities and densities higher than theoretical jam density, the former of which has not been addressed in the literature. To cope with these unrealistic results, this study improves the L-CTM by introducing one more term in each sending and receiving function of the model. The improved model, the enhanced L-CTM (EL-CTM), is proved to yield nonnegative densities not greater than the jam density but can still allow the use of nonconcave density relations. The EL-CTM yields Lighthill-Whitham- Richards solutions when cell lengths and time intervals tend to zero and includes the CTM and the L-CTM as special cases. The EL-CTM is also shown to give more accurate solutions than the L-CTM (and hence also the CTM) does under a small increase in computation time. Hence the EL-CTM is believed to be more suitable for both online and offline applications in the future.en_HK
dc.languageengen_HK
dc.publisherUS National Research Council, Transportation Research Board. The Journal's web site is located at http://www.trb.org/Publications/Public/PubsTRRJournalPrint.aspxen_HK
dc.relation.ispartofTransportation Research Recorden_HK
dc.subjectIntelligent Vehicle Highway Systemsen_HK
dc.subjectTransportationen_HK
dc.subjectVehicle Locating Systemsen_HK
dc.titleEnhanced lagged cell-transmission model for dynamic traffic assignmenten_HK
dc.typeArticleen_HK
dc.identifier.emailSzeto, WY:ceszeto@hku.hken_HK
dc.identifier.authoritySzeto, WY=rp01377en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3141/2085-09en_HK
dc.identifier.scopuseid_2-s2.0-63849141536en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-63849141536&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.issue2085en_HK
dc.identifier.spage76en_HK
dc.identifier.epage85en_HK
dc.identifier.isiWOS:000262384500009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSzeto, WY=7003652508en_HK

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