Automating a procedure for processing traffic volume data for use in HCM

The Highway Capacity Manual (HCM) has been used worldwide for evaluating the performance of highways, by calculating the level of service. To use HCM, it is necessary to determine the traffic volumes for the time scenario analysis in all homogeneous segments of interest. Acquiring such information o...

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Autores principales: Hering Coelho , Alexandre, de Souza Rodrigues, Amanda
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Filosofía y Letras, Universidad de Buenos Aires 2022
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Acceso en línea:http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12122
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spelling I28-R264-article-121222022-12-06T12:54:29Z Automating a procedure for processing traffic volume data for use in HCM Automação de um procedimento para processamento de dados de volume de tráfego para uso no HCM Hering Coelho , Alexandre de Souza Rodrigues, Amanda Highway Capacity Manual. Traffic data. Volumetric expansion. Database. Automation. Highway Capacity Manual. Dados de tráfego. Expansão volumétrica. Banco de dados. Automação. The Highway Capacity Manual (HCM) has been used worldwide for evaluating the performance of highways, by calculating the level of service. To use HCM, it is necessary to determine the traffic volumes for the time scenario analysis in all homogeneous segments of interest. Acquiring such information on-field can be costly, depending on the size and complexity of the study area. In order to meet the economic aspects of the projects, some traffic counting make partial observations and then expand them based on traffic pattern similarity analysis between stations. In addition, plans for data acquisition do not necessarily follow a pattern, and different data structures are used, such as vehicle classifications and time aggregations. Thus, it requires great effort from the processing of the data up to determining the projected demand volumes that will be used in the analysis. The objective of this work is to present an automated procedure to assist in this process. As a result, the development and application of a system capable of carrying out the necessary procedures to obtain these intended variables, including the execution of volumetric expansion, are shown, based on heterogeneous data. O Highway Capacity Manual (HCM) tem sido utilizado mundialmente na avaliação do desempenho de rodovias, por meio do cálculo do nível de serviço. Para a sua aplicação é necessário determinar os volumes de tráfego para o cenário temporal de análise em todos os segmentos homogêneos de interesse. A aquisição destes dados diretamente em campo pode ser onerosa, dependendo do tamanho e da complexidade da área de estudo. Buscando atender o aspecto econômico dos projetos, em alguns postos de contagem são realizadas observações parciais, para serem posteriormente expandidas, com base em análises de similaridade de padrões de tráfego entre os postos. Ademais, os planos para aquisição de dados não seguem necessariamente um padrão e diferentes estruturas de dados são utilizadas, como classificações de veículos e agregações temporais. Assim, o processamento dos dados para o alcance dos volumes de demanda, a serem utilizados na análise, pode exigir grande esforço. O objetivo deste trabalho é apresentar um procedimento tão automatizado quanto possível para auxiliar neste processo. Como resultado, são apresentados o desenvolvimento e a aplicação de um sistema capaz de realizar os procedimentos necessários para a obtenção dessas variáveis, incluindo a execução de expansão volumétrica, a partir de dados heterogêneos. Facultad de Filosofía y Letras, Universidad de Buenos Aires 2022-11-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12122 10.34096/rtt.i26.12122 Revista Transporte y Territorio; Núm. 26 (2022): Enero-Junio 1852-7175 spa http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12122/10690 Derechos de autor 2022 Revista Transporte y Territorio
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-264
container_title_str Revista Transporte y Territorio
language Español
format Artículo revista
topic Highway Capacity Manual. Traffic data. Volumetric expansion. Database. Automation.
Highway Capacity Manual. Dados de tráfego. Expansão volumétrica. Banco de dados. Automação.
spellingShingle Highway Capacity Manual. Traffic data. Volumetric expansion. Database. Automation.
Highway Capacity Manual. Dados de tráfego. Expansão volumétrica. Banco de dados. Automação.
Hering Coelho , Alexandre
de Souza Rodrigues, Amanda
Automating a procedure for processing traffic volume data for use in HCM
topic_facet Highway Capacity Manual. Traffic data. Volumetric expansion. Database. Automation.
Highway Capacity Manual. Dados de tráfego. Expansão volumétrica. Banco de dados. Automação.
author Hering Coelho , Alexandre
de Souza Rodrigues, Amanda
author_facet Hering Coelho , Alexandre
de Souza Rodrigues, Amanda
author_sort Hering Coelho , Alexandre
title Automating a procedure for processing traffic volume data for use in HCM
title_short Automating a procedure for processing traffic volume data for use in HCM
title_full Automating a procedure for processing traffic volume data for use in HCM
title_fullStr Automating a procedure for processing traffic volume data for use in HCM
title_full_unstemmed Automating a procedure for processing traffic volume data for use in HCM
title_sort automating a procedure for processing traffic volume data for use in hcm
description The Highway Capacity Manual (HCM) has been used worldwide for evaluating the performance of highways, by calculating the level of service. To use HCM, it is necessary to determine the traffic volumes for the time scenario analysis in all homogeneous segments of interest. Acquiring such information on-field can be costly, depending on the size and complexity of the study area. In order to meet the economic aspects of the projects, some traffic counting make partial observations and then expand them based on traffic pattern similarity analysis between stations. In addition, plans for data acquisition do not necessarily follow a pattern, and different data structures are used, such as vehicle classifications and time aggregations. Thus, it requires great effort from the processing of the data up to determining the projected demand volumes that will be used in the analysis. The objective of this work is to present an automated procedure to assist in this process. As a result, the development and application of a system capable of carrying out the necessary procedures to obtain these intended variables, including the execution of volumetric expansion, are shown, based on heterogeneous data.
publisher Facultad de Filosofía y Letras, Universidad de Buenos Aires
publishDate 2022
url http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12122
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first_indexed 2023-06-27T21:23:44Z
last_indexed 2023-06-27T21:23:44Z
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