File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.trb.2010.05.002
- Scopus: eid_2-s2.0-78149496094
- WOS: WOS:000285035600015
- Find via
Supplementary
-
Bookmarks:
- CiteULike: 1
- Citations:
- Appears in Collections:
Article: Discretised link travel time models based on cumulative flows: Formulations and properties
Title | Discretised link travel time models based on cumulative flows: Formulations and properties | ||||||
---|---|---|---|---|---|---|---|
Authors | |||||||
Keywords | Causality Cumulative flow FIFO Link travel time Piecewise linearization | ||||||
Issue Date | 2011 | ||||||
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trb | ||||||
Citation | Transportation Research Part B: Methodological, 2011, v. 45 n. 1, p. 232-254 How to Cite? | ||||||
Abstract | In the research area of dynamic traffic assignment, link travel times can be derived from link cumulative inflow and outflow curves which are generated by dynamic network loading. In this paper, the profiles of cumulative flows are piecewise linearized. Both the step function (SF) and linear interpolation (LI) are used to approximate cumulative flows over time. New formulations of the SF-type and LI-type link travel time models are developed. We prove that these two types of link travel time models ensure first-in-first-out (FIFO) and continuity of travel times with respect to flows, and have other desirable properties. Since the LI-type link travel time model does not satisfy the causality property, a modified LI-type (MLI-type) link travel time model is proposed in this paper. We prove that the MLI-type link travel time model ensures causality, strong FIFO and travel time continuity, and that the MLI-type link travel time function is strictly monotone under the condition that the travel time of each vehicle on a link is greater than the free flow travel time on that link. Numerical examples are set up to illustrate the properties and accuracy of the three models. © 2010 Elsevier Ltd. | ||||||
Persistent Identifier | http://hdl.handle.net/10722/135055 | ||||||
ISSN | 2023 Impact Factor: 5.8 2023 SCImago Journal Rankings: 2.660 | ||||||
ISI Accession Number ID |
Funding Information: The authors would like to thank Prof. Hai-Jun Huang, Prof. Malachy Carey, and the anonymous referees for their useful comments on this paper. This work is jointly supported by the National Basic Research Program of China (2006CB705500) and the National Natural Science Foundation of China (70631001, 70821061). | ||||||
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Long, J | en_HK |
dc.contributor.author | Gao, Z | en_HK |
dc.contributor.author | Szeto, WY | en_HK |
dc.date.accessioned | 2011-07-27T01:27:22Z | - |
dc.date.available | 2011-07-27T01:27:22Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Transportation Research Part B: Methodological, 2011, v. 45 n. 1, p. 232-254 | en_HK |
dc.identifier.issn | 0191-2615 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/135055 | - |
dc.description.abstract | In the research area of dynamic traffic assignment, link travel times can be derived from link cumulative inflow and outflow curves which are generated by dynamic network loading. In this paper, the profiles of cumulative flows are piecewise linearized. Both the step function (SF) and linear interpolation (LI) are used to approximate cumulative flows over time. New formulations of the SF-type and LI-type link travel time models are developed. We prove that these two types of link travel time models ensure first-in-first-out (FIFO) and continuity of travel times with respect to flows, and have other desirable properties. Since the LI-type link travel time model does not satisfy the causality property, a modified LI-type (MLI-type) link travel time model is proposed in this paper. We prove that the MLI-type link travel time model ensures causality, strong FIFO and travel time continuity, and that the MLI-type link travel time function is strictly monotone under the condition that the travel time of each vehicle on a link is greater than the free flow travel time on that link. Numerical examples are set up to illustrate the properties and accuracy of the three models. © 2010 Elsevier Ltd. | en_HK |
dc.language | eng | en_US |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trb | en_HK |
dc.relation.ispartof | Transportation Research Part B: Methodological | en_HK |
dc.rights | NOTICE: this is the author’s version of a work that was accepted for publication in Transportation Research Part B: Methodological. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part B: Methodological, 2011, v. 45 n. 1, p. 232-254. DOI: 10.1016/j.trb.2010.05.002 | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Causality | en_HK |
dc.subject | Cumulative flow | en_HK |
dc.subject | FIFO | en_HK |
dc.subject | Link travel time | en_HK |
dc.subject | Piecewise linearization | en_HK |
dc.title | Discretised link travel time models based on cumulative flows: Formulations and properties | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Szeto, WY:ceszeto@hku.hk | en_HK |
dc.identifier.authority | Szeto, WY=rp01377 | en_HK |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.trb.2010.05.002 | en_HK |
dc.identifier.scopus | eid_2-s2.0-78149496094 | en_HK |
dc.identifier.hkuros | 187893 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78149496094&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 45 | en_HK |
dc.identifier.issue | 1 | en_HK |
dc.identifier.spage | 232 | en_HK |
dc.identifier.epage | 254 | en_HK |
dc.identifier.eissn | 1879-2367 | - |
dc.identifier.isi | WOS:000285035600015 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Long, J=14033105100 | en_HK |
dc.identifier.scopusauthorid | Gao, Z=7402832776 | en_HK |
dc.identifier.scopusauthorid | Szeto, WY=7003652508 | en_HK |
dc.identifier.citeulike | 7383064 | - |
dc.identifier.issnl | 0191-2615 | - |