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), Journal Name: ITE J.; (United States) Vol. 58:1; ISSN ITEJD
- Country of Publication:
- United States
- Language:
- English
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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
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99 GENERAL AND MISCELLANEOUS
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ARTIFICIAL INTELLIGENCE
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320203* -- Energy Conservation
Consumption
& Utilization-- Transportation-- Land & Roadway
99 GENERAL AND MISCELLANEOUS
990210 -- Supercomputers-- (1987-1989)
ARTIFICIAL INTELLIGENCE
COMPUTERIZED CONTROL SYSTEMS
COMPUTERS
CONTROL
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DIGITAL COMPUTERS
EXPERT SYSTEMS
IBM COMPUTERS
JUNCTIONS
PERSONAL COMPUTERS
PROGRAMMING
PROGRAMMING LANGUAGES
PROLOG
ROADS
ROUTING
SIGNALS
TRAFFIC CONTROL