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Journal of Transportation Engineering, Part A: Systems is a peer-reviewed journal published by ASCE, covering Traffic control and management, Transportation Planning and Optimization, Traffic Prediction and Management Techniques. Over its lifetime it has published 1,404 papers, which have received 11,959 citations.
| Publisher | ASCE |
|---|---|
| Reference style | Author–year (ASCE) Author–year — (Smith, 2023) in the text Smith, A., B. Jones, and C. Lee. (2023). "A representative article title." Journal of Transportation Engineering, Part A: Systems, 12(3), 45–58.
Formats any DOI in Journal of Transportation Engineering, Part A: Systems style. No sign-up. |
| Publishes research in | Traffic control and management Transportation Planning and Optimization Traffic Prediction and Management Techniques Traffic and Road Safety Urban Transport and Accessibility |
| ISSN | 2473-2893 |
| Citation impact (2-yr) | 1.32 |
| h-index | 39 |
| i10-index | 418 |
| Top institutions publishing here | ORCID |
| Journal website | ascelibrary.org |
| 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.
Timetable and vehicle scheduling are important for transit operations. Electric buses are more environmentally friendly compared with conventional buses, and have been developing rapidly and may replace conventional buses in many cities worldwide. This paper focuses on the bus timetabling and vehicle scheduling problem for electric buses and develops a multiobjective optimization model for a…
The comprehension of network-level consequences resulting from disruptive events is a main gray area in the evaluation of transportation network resilience at the regional level. Explaining hazard impacts on regional network infrastructures and identifying significantly affected areas are important for communicating the need for building resilient infrastructure. This paper presents a framework for assessing the…
Obtaining an optimal stability condition is very important to benefit traffic flow operations for a mix of connected and automated vehicles (CAVs) and regular vehicles. In view of multiple spatial anticipations of CAV car-following models, this paper presents a stability analysis method for mixed CAV flow from the perspective of the uniform local platoon. Transfer…
The COVID-19 pandemic has been an enormous global disruption with immense economic, environmental, and social impacts throughout the world. Only world wars and the flu pandemic of 1918 are comparable in the wide range of consequences, including fatalities, over a relatively short period of time. Unfortunately, we can expect other major disruptions to occur in…
Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland–urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This…
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