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Title: Deciding alternative left turn signal phases using expert systems

Journal Article · · ITE J.; (United States)
OSTI ID:5110006

The Texas Transportation Institute (TTI) conducted a study to investigate the feasibility of applying artificial intelligence (AI) technology and expert systems (ES) design concepts to a traffic engineering problem. Prototype systems were developed to analyze user input, evaluate various reasoning, and suggest suitable left turn phase treatment. These systems were developed using AI programming tools on IBM PC/XT/AT-compatible microcomputers. Two slightly different systems were designed using AI languages; another was built with a knowledge engineering tool. These systems include the PD PROLOG and TURBO PROLOG AI programs, as well as the INSIGHT Production Rule Language.

Research Organization:
Texas Transportation Institute of the Texas A and M Univ. System (US)
OSTI ID:
5110006
Journal Information:
ITE J.; (United States), Vol. 58:1
Country of Publication:
United States
Language:
English