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Article: Dynamic traffic assignment in degradable networks: paradoxes and formulations with stochastic link transmission model

TitleDynamic traffic assignment in degradable networks: paradoxes and formulations with stochastic link transmission model
Authors
KeywordsDynamic traffic assignment
degradable network
probabilistic dynamic user optimal
stochastic link transmission model
paradoxes
Issue Date2017
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20
Citation
Transportmetrica B: Transport Dynamics, 2017, p. 1-27 How to Cite?
AbstractThis paper proposes a simultaneous route and departure time choice (SRDTC) problem with fixed demand in a degradable transport network. In this network, travelers face with stochastic travel times. Their selection of routes and departure times follows the UE principle in terms of the mean generalized route cost, which is defined as the probabilistic dynamic user optimal (PDUO) principle. The proposed PDUO-SRDTC problem is formulated as a variational inequality (VI) problem. As a special case of PDUO-SRDTC problem, the PDUO route choice (PDUO-RC) problem is also proposed and formulated as a VI problem. Network degradation is defined on the degradation of the outflow capacity of each link. A Monte Carlo-based stochastic link transmission model (MC-SLTM) is developed to capture the effect of physical queues and the random evolution of traffic states during flow propagation to estimate mean generalized route costs. Both the extragradient algorithm and the route-swapping method with a variable sample size scheme are developed to solve the proposed VI problems. Numerical examples are developed to illustrate the paradoxical phenomena of the problems and the effectiveness of the solution methods. Numerical results show that constructing a new road, enhancing link outflow capacity, or reducing outflow capacity degradation can lead to poor network performance and it is important to consider both network degradation and queue spillback when making transportation policies aimed at improving network performance. The results also demonstrate that the variable sample size scheme can give a quicker and better solution than the traditional fixed sample size scheme.
Persistent Identifierhttp://hdl.handle.net/10722/259230
ISSN
2015 Impact Factor: 2.56
2015 SCImago Journal Rankings: 2.012

 

DC FieldValueLanguage
dc.contributor.authorLong, J-
dc.contributor.authorSzeto, WY-
dc.contributor.authorDing, J-
dc.date.accessioned2018-09-03T04:03:30Z-
dc.date.available2018-09-03T04:03:30Z-
dc.date.issued2017-
dc.identifier.citationTransportmetrica B: Transport Dynamics, 2017, p. 1-27-
dc.identifier.issn2168-0566-
dc.identifier.urihttp://hdl.handle.net/10722/259230-
dc.description.abstractThis paper proposes a simultaneous route and departure time choice (SRDTC) problem with fixed demand in a degradable transport network. In this network, travelers face with stochastic travel times. Their selection of routes and departure times follows the UE principle in terms of the mean generalized route cost, which is defined as the probabilistic dynamic user optimal (PDUO) principle. The proposed PDUO-SRDTC problem is formulated as a variational inequality (VI) problem. As a special case of PDUO-SRDTC problem, the PDUO route choice (PDUO-RC) problem is also proposed and formulated as a VI problem. Network degradation is defined on the degradation of the outflow capacity of each link. A Monte Carlo-based stochastic link transmission model (MC-SLTM) is developed to capture the effect of physical queues and the random evolution of traffic states during flow propagation to estimate mean generalized route costs. Both the extragradient algorithm and the route-swapping method with a variable sample size scheme are developed to solve the proposed VI problems. Numerical examples are developed to illustrate the paradoxical phenomena of the problems and the effectiveness of the solution methods. Numerical results show that constructing a new road, enhancing link outflow capacity, or reducing outflow capacity degradation can lead to poor network performance and it is important to consider both network degradation and queue spillback when making transportation policies aimed at improving network performance. The results also demonstrate that the variable sample size scheme can give a quicker and better solution than the traditional fixed sample size scheme.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20-
dc.relation.ispartofTransportmetrica B: Transport Dynamics-
dc.subjectDynamic traffic assignment-
dc.subjectdegradable network-
dc.subjectprobabilistic dynamic user optimal-
dc.subjectstochastic link transmission model-
dc.subjectparadoxes-
dc.titleDynamic traffic assignment in degradable networks: paradoxes and formulations with stochastic link transmission model-
dc.typeArticle-
dc.identifier.emailLong, J: jclong@hku.hk-
dc.identifier.emailSzeto, WY: ceszeto@hku.hk-
dc.identifier.authoritySzeto, WY=rp01377-
dc.identifier.doi10.1080/21680566.2017.1405749-
dc.identifier.hkuros289318-
dc.identifier.spage1-
dc.identifier.epage27-
dc.publisher.placeUnited Kingdom-

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