28 research outputs found
Marketing in Public Transportation: a neural network approach
In Brazil, Public Bus Transportation (PBT) responds for the most part of displacements.
However, due to low level of services provided by bus operators and the increase of
informal/non-regulated transportation, there has been a sharp decrease on demand. In this
context, planning agencies need now to focus on efforts towards comprehension and
development of strategies to satisfy various necessities of PBT’s users. As a preliminary
step in this direction, this work introduces the application of Neural Networks (NN)
associated to Geographical Information System (GIS) in order to process the modeling of
user’s preferences in PBT. A case study was conducted in Taguatinga City, Federal
District, Brazil and results showed the potential of the proposed modeling
Modelagem das preferências dos usuários do transporte urbano de passageiros com o auxílio das redes neurais, CD-ROM
O Serviço de Transporte Coletivo Urbano por Ônibus (STCUO), é responsável pela maior parte das viagens realizadas nas cidades brasileiras. Entretanto, o baixo nível do serviço oferecido pelos operadores do STCUO e o crescimento do Transporte Informal (TI), têm levado a uma crescente queda em sua demanda. Neste contexto, os planejadores e gestores do STCUO devem focar seus esforços na satisfação das necessidades dos usuários deste sistema de transportes. Como um passo inicial neste sentido, este trabalho propõe a associação de Redes Neurais (RN) ao Sistema de Informação Geográfica (SIG) para modelar a preferência dos usuários do STCUO. Um estudo de caso foi conduzido na cidade de Taguatinga, Distrito Federal, Brasil. Os resultados mostram o potencial do modelo proposto
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How to deal with radiologically contaminated vegetation
This report describes the findings from a literature review conducted as part of a Department of Energy, Office of Technology Development Biomass Remediation Task. The principal objective of this project is to develop a process or group of processes to treat radiologically contaminated vegetation in a manner that minimizes handling, processing, and treatment costs. Contaminated, woody vegetation growing on waste sites at SRS poses a problem to waste site closure technologies that are being considered for these sites. It is feared that large sections of woody vegetation (logs) can not be buried in waste sites where isolation of waste is accomplished by capping the site. Logs or large piles of woody debris have the potential of decaying and leaving voids under the cap. This could lead to cap failure and entrance of water into the waste. Large solid objects could also interfere with treatments like in situ mixing of soil with grout or other materials to encapsulate the contaminated sediments and soils in the waste sites. Optimal disposal of the wood includes considerations of volume reduction, treatment of the radioactive residue resulting from volume reduction, or confinement without volume reduction. Volume reduction consists primarily of removing the carbon, oxygen, and hydrogen in the wood, leaving an ash that would contain most of the contamination. The only contaminant that would be released by volume reduction would by small amounts of the radioactive isotope of hydrogen, tritium. The following sections will describe the waste sites at SRS which contain contaminated vegetation and are potential candidates for the technology developed under this proposal. The description will provide a context for the magnitude of the problem and the logistics of the alternative solutions that are evaluated later in the review. 76 refs