Paper Info
Title
Traffic Road Emission Estimation Through Visual Programming Algorithms and Building Information Models: A Case Study
Abstract
Emissions from transportation have a severe impact on the current climate crisis. Therefore, the estimation of these pollutants requires precise measurements that integrate both traffic and vehicle fleet information within a specific country or area. However, the current estimation tools continue using vehicle fleet standards based on recommendations or local studies. A problem for the current estimation models arises due to the difficulty of centralizing the large number of vehicle statistics. This article has taken advantage of the capabilities of both visual programming tools and building information modeling (BIM) to centralize databases from different sources, generating a model that integrates current traffic data and vehicle fleet statistics. The proposed platform estimates emissions and the carbon footprint using TIER 1 emission factors recommended by the European Environmental Agency (EEA). This platform has been successfully applied to a case study to estimate the carbon footprint of the B-20 road in Barcelona, using current vehicle restriction scenarios. This case study presents a maximum difference of -2.72% compared with the estimations made by another similar report. This proposed platform more completely automates the communication among the equations and databases required to estimate traffic road emissions.
Year
DOI
Venue
2021
10.1109/ACCESS.2021.3123565
IEEE ACCESS
Keywords
DocType
Volume
Estimation, Roads, Buildings, Carbon footprint, Software, Fuels, Urban areas, Building information modeling (BIM), COPERT, emissions impact assessing, green house gases (GHG)
Journal
9
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Jorge Collao100.34
Haiying Ma200.68
Jose Antonio Lozano-Galant300.34
Jose Turmo4102.52