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Impact of traffic management on black carbon emissions: a microsimulation study

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Title: Impact of traffic management on black carbon emissions: a microsimulation study
Authors: Mascia, M
Hu, J
Han, K
North, R
Van Poppel, M
Theunis, J
Beckx, C
Litzenberger, M
Item Type: Journal Article
Abstract: This paper investigates the effectiveness of traffic management tools, includ- ing traffic signal control and en-route navigation provided by variable message signs (VMS), in reducing traffic congestion and associated emissions of CO2, NOx, and black carbon. The latter is among the most significant contributors of climate change, and is associated with many serious health problems. This study combines traffic microsimulation (S-Paramics) with emission modeling (AIRE) to simulate and predict the impacts of different traffic management measures on a number traffic and environmental Key Performance Indicators (KPIs) assessed at different spatial levels. Simulation results for a real road network located in West Glasgow suggest that these traffic management tools can bring a reduction in travel delay and BC emission respectively by up to 6 % and 3 % network wide. The improvement at local levels such as junctions or corridors can be more significant. However, our results also show that the potential benefits of such interventions are strongly dependent on a number of factors, including dynamic demand profile, VMS compliance rate, and fleet composition. Extensive discussion based on the simulation results as well as managerial insights are provided to support traffic network operation and control with environmental goals. The study described by this paper was conducted under the support of the FP7-funded CARBOTRAF project.
Issue Date: 27-Apr-2016
Date of Acceptance: 28-Dec-2015
URI: http://hdl.handle.net/10044/1/31569
DOI: https://dx.doi.org/10.1007/s11067-016-9326-x
ISSN: 1572-9427
Publisher: Springer Verlag (Germany)
Start Page: 269
End Page: 291
Journal / Book Title: Networks & Spatial Economics
Volume: 17
Issue: 1
Copyright Statement: © The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Sponsor/Funder: 7th EU Framework Programme
Keywords: Science & Technology
Operations Research & Management Science
Transportation Science & Technology
Traffic management
Vehicle emission
Black carbon
Signal control
Variable message sign
0102 Applied Mathematics
Logistics & Transportation
Publication Status: Published
Open Access location: http://link.springer.com/article/10.1007/s11067-016-9326-x
Appears in Collections:Civil and Environmental Engineering
Faculty of Engineering