Transportmetrica B

Aims & Scope

Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”.

Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control.

Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data.

The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.4
2024	3.30

SJR (SCImago Journal Rank)

Year	Value
2024	1.043

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	36

Journal Rank

Year	Value
2024	4505

Journal Citation Indicator

Year	Value
2024	640

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Mathematics and Social Sciences, designed to support cutting-edge academic discovery.

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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.

• A review of system dynamics models applied in transportation

  Citation: 91

  Authors: S.P.

• Delay-compensating strategy to enhance string stability of adaptive cruise controlled vehicles

  Citation: 70

  Authors: M., S. P., W., B., B., R.

• A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework

  Citation: 64

  Authors: Haizhong, Lu, Shangjia, Zhen, Heng

• A multiclass microscopic model for heterogeneous platoon with vehicle-to-vehicle communication

  Citation: 50

  Authors: D., D., H. L.

• Travel through time: the story of research on travel time reliability

  Citation: 50

  Authors: Michael A.P.

• Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading

  Citation: 50

  Authors: Hao, Yanyan, Wei, Jun

• Graph attention temporal convolutional network for traffic speed forecasting on road networks

  Citation: 37

  Authors: Ke, Fang, Zhengchao, Xi, Meng

• A functional data approach to missing value imputation and outlier detection for traffic flow data

  Citation: 36

  Authors: Jeng-Min, Yi-Chen, Wan-Hui, Chiung-Wen

• Integrated design and operation of urban arterials with reversible lanes

  Citation: 36

  Authors: Jing, Wanjing, Yue, Xiaoguang

• Temporal evolution analysis of the European air transportation system: air navigation route network and airport network

  Citation: 35

  Authors: Xiaoqian, Sebastian, Florian

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