Transportation Research Part B: Methodological
Published by Elsevier
ISSN : 0191-2615
Abbreviation : Transp. Res. Part B Methodol.
Aims & Scope
Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis.
The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems.
Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 6.3 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 2.589 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 183 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Engineering and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory
Citation: 2202
Authors: Carlos F.
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A latent class model for discrete choice analysis: contrasts with mixed logit
Citation: 1389
Authors: William H., David A.
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Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings
Citation: 1219
Authors: Nikolas, Carlos F.
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Dynamic prediction of traffic volume through Kalman filtering theory
Citation: 874
Authors: Iwao, Yorgos J.