A Prototype Rule-Based Expert System for Travel Demand Management | Zendy

Resdiansyah Mansyur | Zendy; Riza Atiq O.K. Rahmat | Zendy; Amiruddin Ismail | Zendy

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A Prototype Rule-Based Expert System for Travel Demand Management

Author(s) -

Resdiansyah Mansyur,

Riza Atiq O.K. Rahmat,

Amiruddin Ismail

Publication year - 2013

Publication title -

journal of civil engineering science and technology

Language(s) - English

Resource type - Journals

ISSN - 2462-1382

DOI - 10.33736/jcest.106.2013

Subject(s) - expert system , graphical user interface , computer science , rule based system , process (computing) , abstraction , shell (structure) , interface (matter) , software engineering , decision support system , user interface , knowledge representation and reasoning , systems architecture , software , object (grammar) , architecture , engineering , artificial intelligence , operating system , art , philosophy , civil engineering , epistemology , bubble , maximum bubble pressure method , visual arts

In this research, a prototype rule-based expert system for travel demand management (TDM) in selecting suitable policy was designed and developed. This expert system suggests a process for travel demand management policy implementation, and offers guidance and advice on the selection of effective and appropriate policies. The system is supported with an object-oriented modeling in the knowledge abstraction and representation, and the interactions with the system are performed through a friendly graphical user interface (GUI). The prototype of the system was developed in shell expert system platform (KAPPA-PC). The outcomes obtained by the current prototype show that the used rule-based expert system architecture resulted in successful computerized intelligent decision support software that is easy to maintain, modify, and extend.

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