Development of an expert system to assist the interactive graphic transit-system design process
This dissertation research is focused on an investigation of the applicability of a knowledge-based expert system approach to increasing the productivity of the transit-network design process. For this research, an interactive knowledge-based expert system (TNOP-ADVISOR) was developed to assist the development of high-performance transit-network designs. TNOP-ADVISOR provides advice about how to modify designs so as to obtain improved performance. A network-simulation software package (TNOP) provides the capability for modifying and predicting the performance of these designs. The knowledge-based inference engine is capable of generating advice about what operational and system planning design changes are likely to lead to higher-performance levels. Operational variables include headways, vehicles types, layover, and departure times. System-planning variables include route-layout changes or adding/deleting entire routes. The knowledge-base can be applied to any transit-network design problem at any stage of the design process and also can give advice irrespective of the demand pattern or base network being examined. A computer-based interactive multicriteria evaluation method that uses concordance analysis is developed and used to evaluate and rank the alternative transit-system designs.
- Research Organization:
- Washington Univ., Seattle (USA)
- OSTI ID:
- 6717824
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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