The 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 times, automatic bus vehicle location, traffic signal control, and pavement maintenance strategy. Six papers focus on the application of the 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.
Artificial Intelligence and Geographical Information
1995
171 pages
Report
Keine Angabe
Englisch
Road Transportation , Marine & Waterway Transportation , Railroad Transportation , Transportation Safety , Highway Engineering , Geographic information systems , Artificial intelligence , Highway engineering , Traffic management , Fuzzy logic , Highway design , Pavement condition , Neural networks , Accident location , Locks(Waterways) , Public transportation , Traffic signal timing , Highway accident potential , Railroad grade crossing accidents , Highway characteristics , Automatic highways , Automatic transportation systems , Travel time , Railroad train length , Hazardous materials transportation , Freight transportation , Intelligent Transportation Systems
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