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Situation awareness

About: Situation awareness is a research topic. Over the lifetime, 7380 publications have been published within this topic receiving 108695 citations. The topic is also known as: SA & situational awareness.


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Journal ArticleDOI
TL;DR: The interaction patterns that emerge in the respective teams and their consequences for situation assessment and situation awareness are discussed and the differences are discussed in terms of means of sharing information.
Abstract: Described is the cooperative work of constructing team situation awareness within two teams of a military command and control unit. Specifically discussed is how the distributed cognitive and cooperative work of decision-making of the two teams is structured. The situation enabled two different ways of distributing information within the team: one serial and one parallel. One team chose the parallel information transfer, the other the serial one. Discussed is the interaction patterns that emerge in the respective teams and their consequences for situation assessment and situation awareness. The differences are then discussed in terms of means of sharing information. Some hypotheses for future research are also offered.

144 citations

Journal ArticleDOI
TL;DR: InfoSPOT as mentioned in this paper is a mobile augmented reality (AR) tool for accessing information about the facilities they maintain, which has been considered as a viable option to reduce inefficiencies of data overload by providing FMs with a Situation Awareness (SA)-based tool for visualizing their real-world environment with added interactive data.

143 citations

Journal ArticleDOI
TL;DR: A systematic overview of the main studies and projects addressing the use of data derived from mobile phone networks to obtain location and traffic estimations of individuals, as a starting point for further research on incident and traffic management is provided.
Abstract: The use of wireless location technology and mobile phone data appears to offer a broad range of new opportunities for sophisticated applications in traffic management and monitoring, particularly in the field of incident management. Indeed, due to the high market penetration of mobile phones, it allows the use of very detailed spatial data at lower costs than traditional data collection techniques. Albeit recent, the literature in the field is wide-ranging, although not adequately structured. The aim of this paper is to provide a systematic overview of the main studies and projects addressing the use of data derived from mobile phone networks to obtain location and traffic estimations of individuals, as a starting point for further research on incident and traffic management. The advantages and limitations of the process of retrieving location information and transportation parameters from cellular phones are also highlighted. The issues are presented by providing a description of the current background and data types retrievable from the GSM network. In addition to a literature review, the main findings on the so-called Current City project are presented. This is a test system in Amsterdam (The Netherlands) for the extraction of mobile phone data and for the analysis of the spatial network activity patterns. The main purpose of this project is to provide a full picture of the mobility and area consequences of an incident in near real time to create situation awareness. The first results from this project on how telecom data can be utilized for understanding individual presence and mobility in regular situations and during non-recurrent events where regular flows of people are disrupted by an incident are presented. Furthermore, various interesting studies and projects carried out so far in the field are analyzed, leading to the identification of important research issues related to the use of mobile phone data in transportation applications. Relevant issues concern, on the one hand, factors that influence accuracy, reliability, data quality and techniques used for validation, and on the other hand, the specific role of private mobile companies and transportation agencies.

143 citations

Patent
06 Sep 1995
TL;DR: In this article, a method and system supporting seamless 3D operations in a multi-dimensional environment using orbiting satellite compatible coordinate references and databases is presented, which greatly simplifies the operation of airports and other 4D environments.
Abstract: A method and system supporting seamless 3-dimensional operations in a multi-dimensional environment using orbiting satellite compatible coordinate references and databases. The system includes a control and management element and an aircraft/surface vehicle element. The two elements utilize a common worldwide coordinate reference frame and a common time reference for its operation. Precise collision detection, navigation and 3-dimensional situational awareness functions are performed using precise vector processing algorithms in combination compatible databases. Seamless air and ground operations are supported in such a fashion that the overall processing mathematics are directly applicable anywhere around the globe, only the specific databases need change for any given site. No regional distance scaling corrections or discontinuity compensations are required from site to site anywhere around the globe. Such a system greatly simplifies the operation of airports and other 4-dimensional environments. The simplicity of this system provides high availability and reduced system exposure to single point failures, while providing superior performance for air traffic controllers and aircraft/surface vehicle operators in the 3-dimensional space envelope.

143 citations

Proceedings ArticleDOI
10 Jul 2006
TL;DR: A highly innovative data-fusion framework for asymmetric-threat detection and prediction based on advanced knowledge infrastructure and stochastic (Markov) game theory is proposed.
Abstract: The strategy of data fusion has been applied in threat prediction and situation awareness and the terminology has been standardized by the Joint Directors of Laboratories (JDL) in the form of a so-called JDL Data Fusion Model, which currently called DFIG model. Higher levels of the DFIG model call for prediction of future development and awareness of the development of a situation. It is known that Bayesian Network is an insightful approach to determine optimal strategies against asymmetric adversarial opponent. However, it lacks the essential adversarial decision processes perspective. In this paper, a highly innovative data-fusion framework for asymmetric-threat detection and prediction based on advanced knowledge infrastructure and stochastic (Markov) game theory is proposed. In particular, asymmetric and adaptive threats are detected and grouped by intelligent agent and Hierarchical Entity Aggregation in Level 2 and their intents are predicted by a decentralized Markov (stochastic) game model with deception in Level 3. We have verified that our proposed algorithms are scalable, stable, and perform satisfactorily according to the situation awareness performance metric.

140 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023429
2022949
2021302
2020417
2019422