Artificial Intelligence and Expert Systems in Transport

Lecturer:

Tomáš Brandejský (gar.)

Tutor:

Tomáš Brandejský (gar.)

Supervisor:

Department of Informatics and Telecommunications

Synopsis:

Introduction to artificial intelligence, work in unified state space and with related techniques.

Requirements:

Basic knowledge of mathematical tools and probability theory

-Basic level Knowledge of transportation engineering

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

To introduce students to methods of artificial intelligence with respect to transportation applications. Praktical training in related techniques.

Study materials:

Jang , J.-S. R., C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice Hall:1997

-Teodorovic, D. & Vukadinovic, K., Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach, Kluwer Academic Publishers, Boston/ Dordrecht/London,

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans:

• IS nav.prez. 11/12 (compulsory course)