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

Author(s)
Islam, M.N. Seneviratne, P.N. Grivas, D.A. ... [et al.]
Year
Abstract

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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Publication

Library number
961044 ST S
Source

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

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.