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Transportmetrica B: Transport Dynamics is a peer-reviewed journal published by Taylor & Francis, covering Transportation Planning and Optimization, Traffic control and management, Traffic Prediction and Management Techniques. Over its lifetime it has published 603 papers, which have received 8,366 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Transportmetrica B: Transport Dynamics 12 (3): 45–58.
Formats any DOI in Transportmetrica B: Transport Dynamics style. No sign-up. |
| Publishes research in | Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques Transportation and Mobility Innovations Urban Transport and Accessibility |
| ISSN | 2168-0566 |
| Citation impact (2-yr) | 2.96 |
| h-index | 42 |
| i10-index | 267 |
| Top institutions publishing here | Beijing Jiaotong University |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
It is 20 years since Abbas and Bell [1994. “System Dynamics Applicability to Transportation Modeling.” Transportation Research Part A 28 (5): 373–390] evaluated the strengths and weaknesses of system dynamics (SD) as an approach for modelling in the transportation area. They listed 12 advantages of the approach and in particular suggested it was well suited…
A novel strategy to enhance string stability of autonomous vehicles with sensor delay and actuator lag is proposed based on a model predictive control framework. To compensate sensor delay, the approach entails estimating the (unknown) system state at the current time using the system state in a previous time, the applied control history and a…
The Cooperative Adaptive Cruise Control (CACC) system is beneficial to the traffic flow stability. However, the CACC mode will degrade to the ACC mode if a CACC vehicle following right behind a manual vehicle. This paper presents a framework for the analytical studies on the stability of the CACC-manual heterogeneous flow. ACC and CACC car-following…
AbstractThis paper presents a hybrid short-term traffic speed prediction framework through empirical mode decomposition (EMD) and autoregressive integrated moving average (ARIMA). The goals of this paper are to investigate (1) does the hybrid model provide better short-term traffic conditions (i.e. traffic speeds) than the traditional models? (2) how the performance of the hybrid model varies…
Connected and autonomous (CA) vehicles have been verified to significantly improve traffic efficiency. However, there is still a long lifespan for heterogeneous traffic flow consisting of both human-driven and CA vehicles. Thus a deep understanding of the heterogeneous platoon dynamics is critical to the traffic stability issues for the deployment of CA vehicles in the…
