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Article: A stochastic transit assignment model using a dynamic schedule-based network

TitleA stochastic transit assignment model using a dynamic schedule-based network
Authors
KeywordsDynamic
Schedule-based
Stochastic
Transit assignment
Issue Date1998
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trb
Citation
Transportation Research, Part B: Methodological, 1998, v. 33 n. 2, p. 107-121 How to Cite?
AbstractUsing the schedule-based approach, in which scheduled time-tables are used to describe the movement of vehicles, a dynamic transit assignment model is formulated. Passengers are assumed to travel on a path with minimum generalized cost which consists of four components: in-vehicle time; waiting time; walking time; and a time penalty for each line change. With the exception of in-vehicle time, each of the other cost components is weighted by a sensitivity coefficient which varies among travelers and is defined by a density function. This time-dependent and stochastic minimum path is generated by a specially developed branch and bound algorithm. The assignment procedure is conducted over a period in which both passenger demand and train headways are varying. Due to the stochastic nature of the assignment problem, a Monte Carlo approach is employed to solve the problem. A case study using the Mass Transit Railway System in Hong Kong is given to demonstrate the model and its potential applications.
Persistent Identifierhttp://hdl.handle.net/10722/71326
ISSN
2015 Impact Factor: 3.769
2015 SCImago Journal Rankings: 3.905
References

 

DC FieldValueLanguage
dc.contributor.authorTong, COen_HK
dc.contributor.authorWong, SCen_HK
dc.date.accessioned2010-09-06T06:30:59Z-
dc.date.available2010-09-06T06:30:59Z-
dc.date.issued1998en_HK
dc.identifier.citationTransportation Research, Part B: Methodological, 1998, v. 33 n. 2, p. 107-121en_HK
dc.identifier.issn0191-2615en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71326-
dc.description.abstractUsing the schedule-based approach, in which scheduled time-tables are used to describe the movement of vehicles, a dynamic transit assignment model is formulated. Passengers are assumed to travel on a path with minimum generalized cost which consists of four components: in-vehicle time; waiting time; walking time; and a time penalty for each line change. With the exception of in-vehicle time, each of the other cost components is weighted by a sensitivity coefficient which varies among travelers and is defined by a density function. This time-dependent and stochastic minimum path is generated by a specially developed branch and bound algorithm. The assignment procedure is conducted over a period in which both passenger demand and train headways are varying. Due to the stochastic nature of the assignment problem, a Monte Carlo approach is employed to solve the problem. A case study using the Mass Transit Railway System in Hong Kong is given to demonstrate the model and its potential applications.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trben_HK
dc.relation.ispartofTransportation Research, Part B: Methodologicalen_HK
dc.subjectDynamicen_HK
dc.subjectSchedule-baseden_HK
dc.subjectStochasticen_HK
dc.subjectTransit assignmenten_HK
dc.titleA stochastic transit assignment model using a dynamic schedule-based networken_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0191-2615&volume=33B&spage=107 &epage= 121&date=1999&atitle=A+stochastic+transit+assignment+model+using+a+dynamic+schedule-based+networken_HK
dc.identifier.emailTong, CO:cotong@hku.hken_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityTong, CO=rp00178en_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0191-2615(98)00030-7-
dc.identifier.scopuseid_2-s2.0-0033078951en_HK
dc.identifier.hkuros39929en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033078951&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume33en_HK
dc.identifier.issue2en_HK
dc.identifier.spage107en_HK
dc.identifier.epage121en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridTong, CO=7202715087en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK

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