Title: Analysis of emission models integrated with traffic models for freight transportation study in urban areas

Authors: Helry Luvillany Fontenele Dias; Bruno Vieira Bertoncini; Mona Lisa Moura De Oliveira; Francisco Sales Ávila Cavalcante; Ed Pinheiro Lima

Addresses: Department of Transport Engineering, Federal University of Ceará, Fortaleza, Brazil ' Department of Transport Engineering, Federal University of Ceará, Fortaleza, Brazil ' Center of Sciences and Technology, State University of Ceará, Fortaleza, Brazil ' Center of Sciences and Technology, State University of Ceará, Fortaleza, Brazil ' Department of Technology, State University of Maringá, Maringá, Brazil

Abstract: In the present work, two dynamic emission models integrated to traffic simulators were analysed: Panis et al. and EnViver integrated to traffic simulators AIMSUN and VISSIM, respectively. These models were selected due to their capacity to execute emission estimations of particulate matter (PM), a pollutant found in the incomplete combustion in diesel cycle engines and extremely harmful to human health and because of their negative impact was the study object of this paper. Estimated data were confronted with collected data emission in the field through a collecting procedure built by Dias et al. (2015) from a typical urban service vehicle of Fortaleza City - CE, aiming to verify the model that estimated particulate matter data emission closer to the reality of vehicles studied in this research. The selected models can estimate the main rates of particulate matter or originated in urban freight transport. However, the model proposed by Panis et al. was considered more appropriate in the representation of this phenomenon.

Keywords: pollutant emissions; particulate matter; emission models; traffic models; traffic simulators; advanced interactive microscopic simulator for urban and non-urban networks; AIMSUN; VISSIM; Panis et al.; Environment Vissim and Versit+; EnViver.

DOI: 10.1504/IJETM.2017.086440

International Journal of Environmental Technology and Management, 2017 Vol.20 No.1/2, pp.60 - 77

Received: 09 May 2016
Accepted: 29 Mar 2017
Published online: 10 Sep 2017 *

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