Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106625
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Civil and Environmental Engineering | en_US |
dc.creator | Yao, J | en_US |
dc.creator | Chen, Y | en_US |
dc.creator | Chen, A | en_US |
dc.creator | Liu, Z | en_US |
dc.date.accessioned | 2024-05-20T08:40:47Z | - |
dc.date.available | 2024-05-20T08:40:47Z | - |
dc.identifier.issn | 1366-5545 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106625 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Bi-modal mixed traffic network equilibrium | en_US |
dc.subject | Capacity constraints | en_US |
dc.subject | Improved bi-loop algorithm | en_US |
dc.subject | Physical queuing | en_US |
dc.subject | Queuing toll | en_US |
dc.title | Modeling link capacity constraints with physical queuing and toll in the bi-modal mixed road network including bus and car modes | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Title on author’s file: Modeling the effect of capacity constraints and queuing toll policies in the bi-modal traffic network incorporating carpooling behavior | en_US |
dc.identifier.volume | 184 | en_US |
dc.identifier.doi | 10.1016/j.tre.2024.103486 | en_US |
dcterms.abstract | In urban transportation network, the formation of traffic congestion is often caused by link capacity constraints, which is often accompanied by physical queuing phenomena. This paper proposes a bi-modal mixed traffic equilibrium model with capacity constraints under two cases: (1) the physical queuing case for both car and bus modes; (2) implementing a queuing toll policy only for car mode to eliminate physical queuing. Based on the method of successive averages, an improved bi-loop algorithm is designed to solve the model. By two classical networks, we compare the two proposed cases with the benchmark case without capacity constraints to analyze the impact of capacity constraints and queueing toll policy on travelers’ travel cost and travel choice behavior. Some general insights are concluded based on the numerical results. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Transportation research. Part E, Logistics and transportation review, Apr. 2024, v. 184, 103486 | en_US |
dcterms.isPartOf | Transportation research. Part E, Logistics and transportation review | en_US |
dcterms.issued | 2024-04 | - |
dc.identifier.scopus | 2-s2.0-85187150606 | - |
dc.identifier.eissn | 1878-5794 | en_US |
dc.identifier.artn | 103486 | en_US |
dc.description.validate | 202405 bcch | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a2710b | - |
dc.identifier.SubFormID | 48103 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Fundamental Research Funds for the Central Universities | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.fundingText | Research Institute for Land and Space | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2027-04-30 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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