THE DEVELOPMENT OF TRAFFIC AND TRANSPORT APPLICATIONS OF ARTIFICIAL INTELLIGENCE: AN OVERVIEW
This chapter provides a perspective on the development of the application of artificial intelligence to traffic and transport, based on an overview of over 1000 items of the literature. Originally prepared for the European Communities' DRIVE project on the Applicability of Artificial Intelligene to Traffic and Transport (ATTAIN), it has been updated to reflect the considerable growth in the literature since. Its scope covers all aspects of artifical intelligence, and all fields of transport. Sources covered work in Europe, USA, Canada, Australia and Japan. Few systems are reported to have been validated and to have entered into operational use. Knowledge based systems are the dominant type of system, with use of expert system shells particularly prevalent in the USA and Canada, especially for highways related work. Use of neural networks is growing fast, and now accounts for 13 percent of the literature overall; some use of genetic algorithms is reported. (A) For the covering abstract see IRRD 869506.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9067641715
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Corporate Authors:
VSP BV
P.O. Box 346
Zeist, Netherlands -
Authors:
- KIRBY, H R
- PARKER, G B
- Publication Date: 1994
Language
- English
Media Info
- Features: References;
- Pagination: p. 3-27
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Serial:
- ARTIFICIAL INTELLIGENCE APPLICATION TO TRAFFIC ENGINEERING
- Publisher: VSP BV
Subject/Index Terms
- TRT Terms: Aircraft; Expert systems; Freight transportation; Pavement management systems; Planning; Public transit; Railroad transportation; Textbooks; Traffic control; Traffic engineering
- ITRD Terms: 1258: Aircraft; 8626: Expert system; 741: Goods traffic; 3037: Pavement management system; 143: Planning; 744: Public transport; 1173: Rail bound transport; 8526: Textbook; 654: Traffic control; 655: Traffic engineering
- Subject Areas: Aviation; Freight Transportation; Operations and Traffic Management; Pavements; Planning and Forecasting; Public Transportation; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 00677537
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- ISBN: 90-6764-171-5
- Files: ITRD
- Created Date: May 25 1995 12:00AM