Situation Prediction Nets - Playing the Token Game for Ontology-Driven Situation Awareness
نویسندگان
چکیده
Situation awareness in large-scale control systems such as road traffic management aims to predict critical situations on the basis of spatio-temporal relations between real-world objects. Such relations are described by domain-independent calculi, each of them focusing on a certain aspect, for example topology. The fact that these calculi are described independently of the involved objects, isolated from each other, and irrespective of the distances between relations leads to inaccurate and crude predictions. To improve the overall quality of prediction while keeping the modeling effort feasible, we propose a domain-independent approach based on Colored Petri Nets that complements our ontologydriven situation awareness framework BeAware!. These Situation Prediction Nets can be generated automatically and allow increasing (i) prediction precision by exploiting ontological knowledge in terms of object characteristics and interdependencies between relations and (ii) increasing expressiveness by associating multiple distance descriptions with transitions. The applicability of Situation Prediction Nets is demonstrated using real-world traffic data.
منابع مشابه
BeAware! - Situation awareness, the ontology-driven way
Information overload is a severe problem for human operators of large-scale control systems as, for example, encountered in the domain of road traffic management. Operators of such systems are at risk to lack situation awareness, because existing systems focus on the mere presentation of the available information on graphical user interfaces—thus endangering the timely and correct identificatio...
متن کاملBayesian Games for Threat Prediction and Situation Analysis
Higher levels of the JDL model call for prediction of future development and awareness of the development of a situation. Since the situations handled by Command and Control systems develop by actions performed by opposing agents, pure probabilistic or evidential techniques are not quite sufficient tools for prediction. Game theoretic tools can give an improved appreciation of the real uncertai...
متن کاملGame-based situation awareness training for child and adult cyclists
Safe cycling requires situation awareness (SA), which is the basis for recognizing and anticipating hazards. Children have poorer SA than adults, which may put them at risk. This study investigates whether cyclists' SA can be trained with a video-based learning game. The effect of executive working memory on SA was also studied. Thirty-six children (9-10 years) and 22 adults (21-48 years) playe...
متن کاملOn Optimization of Predictions in Ontology-Driven Situation Awareness
Systems supporting situation awareness in large-scale control systems, such as, e. g., encountered in the domain of road traffic management, pursue the vision of allowing human operators prevent critical situations. Recently, approaches have been proposed, which express situations, their constituting objects, and the relations in-between (e. g., road works causing a traffic jam), by means of do...
متن کاملReasoning on Data Streams for Situation Awareness
Information overload is a severe problem for human operators of large-scale control systems, for instance, in road traffic management. In order to determine a complete and coherent view of the overall situation (i. e., gain situation awareness), an operator of such a system must consider various heterogeneous sources providing streams of information about a large number of real-world objects. S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010