Taylor & Francis

Transportmetrica Template

Write in a clean editor, then format for Transportmetrica in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Transportmetrica format

Transportmetrica is a peer-reviewed journal published by Taylor & Francis, covering Transportation Planning and Optimization, Traffic control and management, Urban Transport and Accessibility.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Transportmetrica 12 (3): 45–58.

Formats any DOI in Transportmetrica style. No sign-up.

Publishes research inTransportation Planning and Optimization Traffic control and management Urban Transport and Accessibility Traffic Prediction and Management Techniques Transportation and Mobility Innovations
ISSN1812-8602
h-index43
i10-index108
Total citations5,001
Top institutions publishing hereUniversity of Hong Kong
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Transportmetrica per year

17
2005
12
2006
12
2007
15
2008
40
2009
14
2010
22
2011
2
2012
1
2013
1
2016
1
2018

Citation impact of Transportmetrica by publication year

472
2005
520
2006
665
2007
526
2008
1.4K
2009
583
2010
780
2011
9
2012
2
2013
0
2016
0
2018

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Transportmetrica

DYNAMIC TRAFFIC ASSIGNMENT: PROPERTIES AND EXTENSIONS

W.Y. Szeto, Hong K. Lo · 1 Jan 2006

Dynamic Traffic Assignment (DTA) is long recognized as a key component for network planning and transport policy evaluations as well as for real-time traffic operation and management. How traffic is encapsulated in a DTA model has important implications on the accuracy and fidelity of the model results. This study compares and contrasts the properties of…

C-logit stochastic user equilibrium model: formulations and solution algorithm

Zhong Zhou, Anthony Chen, Shlomo Bekhor · 20 Nov 2010

This article considers the stochastic user equilibrium (SUE) problem with the route choice model based on the C-logit function. The C-logit model has a simple closed-form analytical probability expression and requires relatively lower calibration efforts and represents a more realistic route choice behaviour compared with the multinomial logit model. This article proposes two versions of…

A NEW MULTI-CLASS CONTINUUM MODEL FOR TRAFFIC FLOW

Arvind Kumar Gupta, V. K. Katiyar · 1 Jan 2007

Abstract In this paper, we propose a new continuum model and study some qualitative properties. The new model contains an additional speed gradient term (anisotropic term) in comparison to Berg's model (Berg et al., 2000, Physical Review E, 61, 1056–1066). This anisotropic term guarantees the property that the characteristic speeds can be made less than…

Regret theory-based route choices and traffic equilibria

Caspar Chorus · 5 Jan 2011

This article studies route choices and traffic equilibria when travel times are risky, and travellers are risk averse and regret averse. It is shown how regret theory, being one of the most popular contenders of expected utility theory throughout the social sciences, can be applied to model risky route choices by means of an expected…

Traffic forecasting using least squares support vector machines

Yang Zhang, Yuncai Liu · 29 May 2009

Accurate and timely forecasting of traffic parameters is crucial for effective management of intelligent transportation systems. Travel time index (TTI) is a fundamental measure in transportation. In this article, a non-parametric technique called least squares support vector machines (LS-SVMs) is proposed to forecast TTI. To the best of our knowledge, it is the first time…

Transportmetrica template — frequently asked questions

How do I write a paper in the Transportmetrica format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Transportmetrica template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Transportmetrica use?
Transportmetrica uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Transportmetrica 12 (3): 45–58.
Do I need to know LaTeX to submit to Transportmetrica?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Transportmetrica document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Transportmetrica template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Transportmetrica format with correct headings, figures, tables, and author–year citations.
Who publishes Transportmetrica?
Transportmetrica is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Transportmetrica template matches Taylor & Francis's official submission format.
Can I export a submission-ready Transportmetrica PDF?
Yes — DocuGuru produces a PDF built with the official Transportmetrica template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
How much does the Transportmetrica template cost?
You can start writing in the Transportmetrica template for free. Exporting the final submission-ready Transportmetrica PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Transportmetrica template