Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Temporal reasoning based on semi-intervals
Artificial Intelligence
Qualitative representation of positional information
Artificial Intelligence
Dealing with fuzziness in active mobile database systems
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy semantics for direction relations between composite regions
Information Sciences—Informatics and Computer Science: An International Journal
Trajectory Indexing Using Movement Constraints
Geoinformatica
Modeling and querying moving objects in networks
The VLDB Journal — The International Journal on Very Large Data Bases
Rough intervals: enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
The algebra IAfuz: a framework for qualitative fuzzy temporal reasoning
Artificial Intelligence
Qualitative Spatial Reasoning with Conceptual Neighborhoods for Agent Control
Journal of Intelligent and Robotic Systems
Information Sciences: an International Journal
Metric details of topological line-line relations
International Journal of Geographical Information Science
Qualitative reasoning about consistency in geographic information
Information Sciences: an International Journal
The qualitative trajectory calculus on networks
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Dynamic range query in spatial network environments
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
A network-based indexing method for trajectories of moving objects
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Processes and events in dynamic geo-networks
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
Implementing a qualitative calculus to analyse moving point objects
Expert Systems with Applications: An International Journal
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The Qualitative Trajectory Calculus on Networks (QTC"N) defines qualitative relations between two continuously moving point objects (MPOs) moving along a network. As prevailing in other research, this network is presumed static in QTC"N. Actually, in many cases, networks are dynamic entities. For example in a road network, the opening of a bridge can temporarily close the connection between two junctions; traffic jams and traffic lights increase the time needed to travel from A to B. Therefore, it is interesting to examine what happens with qualitative relations between two continuously moving point objects if there are changes in the network. In this paper, we introduce QTC"D"N"^"', being the Qualitative Trajectory Calculus on Changing Networks able to handle topological network changes. Potential applications of the calculus in transportation are highlighted, clearly illustrating the usefulness of the calculus.