Artificial intelligence and geographical information. A peer-reviewed publication of the Transportation Research Board TRB.

Auteur(s)
Islam, M.N. Seneviratne, P.N. Grivas, D.A. ... [et al.]
Jaar
Samenvatting

This Record contains a series of papers dealing with uncertainty related to the engineering decision, the use of fuzzy relations to manage uncertainty in civil infrastructure preservation, and rehabilitation of deteriorated pavement sections. Also, a series of papers focuses on use of neural networks for real-time arterial street incident detection, waterway lock service time, automatic bus vehicle location, traffic signal control, and pavement maintenance strategy. Six papers focus on the application of Geographic Information System (GIS), hazardous highway location identification, safety analysis at rail-highway grade crossings, assigning spatial properties to highway feature files, Intelligent Transportation System/Intelligent Vehicle Highway System (ITS/IVHS) networks, network travel time, solid and hazardous waste transportation planning, and modeling freight flows. The two remaining papers focus on an approach for solving the train formation problem and selection of highway design parameters in the presence of uncertainty.

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Publicatie

Bibliotheeknummer
961044 ST S
Uitgave

Washington, D.C., National Research Council NRC, Transportation Research Board TRB / National Academy Press, 1995, VII + 163 p., 189 ref.; Transportation Research Record TRR ; No. 1497 - ISSN 0361-1981 / ISBN 0-309-06163-6

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Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.