Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/26341

Title: Full Informed Road Networks Evaluation: Simpler, Maybe Better
Authors: Ribeiro, Jorge
Fernandes, Bruno
Analide, César
Vicente, Henrique
Neves, José
Keywords: Road Networks
Entropy
Logic Programming
Knowledge Representation and Reasoning
Artificial Neural Networks
Issue Date: 2019
Publisher: World Research Library
Citation: Ribeiro, J., Fernandes, B., Analide, C., Vicente, H. & Neves, J., Full Informed Road Networks Evaluation: Simpler, Maybe Better. In Proceedings of the 73rd Research World International Conference, pp. 46–52, World Research Library, 2019.
Abstract: The aim of this work is to categorize the current state of a road network, to determine quality of service and to assess the need to establish a program for maintenance or investment with respect to an evaluation of the user’s network satisfaction. It was designed to obtain information on the level of service provided and road network conditions, using a series of hypothetical questions. The instruments (logical functions or predicates) used considered only two or three attributes, so that respondents are able to easily comprehend and evaluate the scenarios presented to them. On the other hand, the hypothetical scenarios within each instrument were generated by varying the levels of the attributes entropy in a way that is specific to each of them, i.e., this study investigates the measurement of road network structure according to this assumption. Existing measures of heterogeneity, connectivity, accessibility, and interconnectivity are reviewed and supplemental measures are proposed, including measures of entropy, connection patterns, and continuity.
URI: http://www.worldresearchlibrary.org/up_proc/pdf/3178-157251759346-52.pdf
http://hdl.handle.net/10174/26341
Type: article
Appears in Collections:CQE - Artigos em Livros de Actas/Proceedings
QUI - Artigos em Livros de Actas/Proceedings

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