A knowledge-based traffic signal control application

This study examines the use of a knowledge-based expert system for traffic signal control. It illustrates a new technique for achieving adaptive traffic signal control, which would reduce vehicle delay and travel times. We designed and implemented a system based on Generic Task hierarchal classification. We tested our proposed architecture on a case study corridor in Fargo, North Dakota using a traffic simulation program (VISSIM). In this paper, we present the details of the design and implementation as well as the testing results. Conclusions and suggestions for future research are also presented.