Paper Info
Title
A decision support systems generator for transportation demand forecasting implemented by constraint logic programming
Abstract
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.
Year
DOI
Venue
1999
10.1016/S0167-9236(99)00030-5
Decision Support Systems
Keywords
Field
DocType
transportation demand forecasting,decision support systems generator,constraint logic programming,network flows,ontology,computational geometry,demand forecasting,network flow,decision support system,declarative programming,user interface
Constraint satisfaction,Data mining,Demand forecasting,Computer science,Constraint programming,Imperative programming,Theoretical computer science,Constraint satisfaction problem,Concurrent constraint logic programming,Declarative programming,Constraint logic programming,Distributed computing
Journal
Volume
Issue
ISSN
26
3
Decision Support Systems
Citations 
PageRank 
References 
5
0.52
2
Authors
1
Name
Order
Citations
PageRank
Cristina Fierbinteanu150.86