A decision support systems generator for transportation demand forecasting implemented by constraint logic programming

In this paper we propose a framework for a decision support systems (DSS) generator for constrained search problems, implemented by constraint logic programming (CLP). We illustrate this concept by the implementation of a DSS generator for transportation demand forecasting. The user interface of the...

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Veröffentlicht in:Decision Support Systems Jg. 26; H. 3; S. 179 - 194
1. Verfasser: Fierbinteanu, Cristina
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 01.09.1999
Elsevier Science
Elsevier Sequoia S.A
Schlagworte:
Applied sciences
Computational geometry
Constraint logic programming
Decision support systems
Decision support systems generator
Decision theory. Utility theory
Exact sciences and technology
Flows in networks. Combinatorial problems
Forecasting
Geometry
Logic programming
Mathematical programming
Network flows
Ontology
Operational research and scientific management
Operational research. Management science
Studies
Transportation demand forecasting
Transportation demand forecasting
Computational geometry
Constraint logic programming
Ontology
Network flows
Decision support systems generator
Network flow
Decision support system
Demand forecasting
Transportation
ISSN:0167-9236, 1873-5797
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Zusammenfassung:In this paper we propose a framework for a decision support systems (DSS) generator for constrained search problems, implemented by constraint logic programming (CLP). We illustrate this concept by the implementation of a DSS generator for transportation demand forecasting. The user interface of the DSS generator is an intelligent, graphical editor that supports the construction of a specific DSS from basic building blocks. Additional constraints are specified as distinct building blocks, and the constraint solver of the host CLP language is extended with domain-specific constraint manipulation. The design of the system is based on ontological modeling. The originality of our approach, which achieves the transition from custom imperative programming to declarative programming in the field of transportation demand forecasting, consists of the model of the generator, as well as of the constraint logic solver for network flow problems.
Bibliographie:SourceType-Scholarly Journals-1
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ISSN:0167-9236
1873-5797
DOI:10.1016/S0167-9236(99)00030-5