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ACM Journal on Autonomous Transportation Systems is a peer-reviewed journal published by ACM, covering Autonomous Vehicle Technology and Safety, Traffic control and management, Vehicular Ad Hoc Networks (VANETs). Over its lifetime it has published 70 papers, which have received 282 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Journal on Autonomous Transportation Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Journal on Autonomous Transportation Systems style. No sign-up. |
| Publishes research in | Autonomous Vehicle Technology and Safety Traffic control and management Vehicular Ad Hoc Networks (VANETs) UAV Applications and Optimization Advanced Neural Network Applications |
| ISSN | 2833-0528 |
| Citation impact (2-yr) | 3.3 |
| h-index | 8 |
| i10-index | 6 |
| Top institutions publishing here | Clemson University |
| 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.
The advancement of computer vision has pushed visual analysis tasks from still images to the video domain. In recent years, video instance segmentation, which aims at tracking and segment multiple objects in video frames, has drawn much attention for its potential applications in various emerging areas such as autonomous driving, intelligent transportation, and smart retail.…
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to the lack of large and diverse datasets, especially in edge cases. Therefore, simulations are necessary for their development and evaluation. However, existing open-source simulators often exhibit a significant gap…
This work investigates traffic control via controlled connected and autonomous vehicles (CAVs) using novel controllers derived from the linear-quadratic regulator (LQR) theory. CAV-platoons are modeled as moving bottlenecks impacting the surrounding traffic with their speeds as control inputs. An iterative controller algorithm based on the LQR theory is proposed along with a variant that allows…
The automotive industry has been enhancing autonomous driving systems utilizing the computation and communication networks embedded in vehicles (e.g., cellular networks and sensors) and roadside units (e.g., radar and cameras). Robust security and privacy requirements are essential in Intelligent Transportation Systems (ITSs). To satisfy these requirements, most developed autonomous driving systems (e.g., Waymo and Tesla)…
The driving characteristics of individual vehicles in the flow have been shown to influence the aggregate traffic flow characteristics. This is true both for individual human drivers as well as vehicles with some level of automation, such as adaptive cruise control (ACC). Knowledge of the individual constituents of the traffic flow will allow for more…
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