A Knowledge Model for Automatic Configuration of Traffic Messages

Authors:
Martín Molina;Mónica Robledo
Affiliations:
-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 7
Cited 0

Heuristic classification

Artificial Intelligence
SALT: a knowledge acquisition language for propose-and-revise systems

Artificial Intelligence
Task-structure analysis for knowledge modeling

Communications of the ACM - Special issue on analysis and modeling in software development
A structure of problem-solving methods for real-time decision support in traffic control

International Journal of Human-Computer Studies
The role of knowledge modelling techniques in software development: a general approach based on a knowledge management tool

International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology

Knowledge engineering and management: the CommonKADS methodology
Common KADS Library for Expertise Modelling

Common KADS Library for Expertise Modelling

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Abstract

This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection of a set of messages to be presented to drivers on variable message signals. This selection is done in a real-time context using data recorded by traffic detectors on motorways. The system follows an advanced knowledge-based solution that implements two abstract problem solving methods according to a model-based approach recently proposed in the knowledge engineering field. Finally, the paper presents a discussion about the advantages and drawbacks found for this problem as a consequence of the applied knowledge modeling approach.