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ACM Transactions on Spatial Algorithms and Systems is a peer-reviewed journal published by ACM, covering Data Management and Algorithms, Human Mobility and Location-Based Analysis, Geographic Information Systems Studies. Over its lifetime it has published 296 papers, which have received 2,833 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 Transactions on Spatial Algorithms and Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Spatial Algorithms and Systems style. No sign-up. |
| Publishes research in | Data Management and Algorithms Human Mobility and Location-Based Analysis Geographic Information Systems Studies Traffic Prediction and Management Techniques Data-Driven Disease Surveillance |
| ISSN | 2374-0353 |
| Citation impact (2-yr) | 3.6 |
| h-index | 27 |
| i10-index | 84 |
| Top institutions publishing here | George Mason University |
| Journal website | tsas.acm.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.
With the popularity of mobile devices, spatial crowdsourcing is rising as a new framework that enables human workers to solve tasks in the physical world. With spatial crowdsourcing, the goal is to crowdsource a set of spatiotemporal tasks (i.e., tasks related to time and location) to a set of workers, which requires the workers to…
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning. Despite their successes in language and vision tasks, we have not yet seen an attempt to develop foundation models…
Camera-based systems are increasingly used for collecting information on intersections and arterials. Unlike loop controllers that can generally be only used for detection and movement of vehicles, cameras can provide rich information about the traffic behavior. Vision-based frameworks for multiple-object detection, object tracking, and near-miss detection have been developed to derive this information. However, much…
Citywide crowd flow data are ubiquitous nowadays, and forecasting the flow of crowds is of great importance to many real applications such as traffic management and mobility-on-demand (MOD) services. The challenges of accurately predicting urban crowd flows come from both the nonlinear spatial-temporal correlations of the crowd flow data and the complex impact of the…
A knowledgeable observer of a game of football (soccer) can make a subjective evaluation of the quality of passes made between players during the game, such as rating them as Good , OK , or Bad . In this article, we consider the problem of producing an automated system to make the same evaluation of…
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