Imperial College London
Alternate

Dr Simon Hu

Faculty of Engineering, Department of Civil and Environmental Engineering

Honorary Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6024j.s.hu05

 
 
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Location

 

422Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Vranckx:2014,
author = {Vranckx, S and Lefebvre, W and van, Poppel M and Beckx, C and Theunis, J and Mascia, M and Hu, J and North, R and Kolbl, R and Assamer, J and Breuss, S and Heilmann, B and Lenz, G and Ritchter, G and Mills, J and Dahlem, D and Kouwijzer, G and Marcinek, M and Litzenberger, M},
title = {Air Quality Impact of a Decision Support System for Reducing Pollutant Emissions: CARBOTRAF},
url = {http://hdl.handle.net/10044/1/25475},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions.Black carbon (BC) is a good indicator of combustion-related air pollution and results in negativehealth effects. Both BC and CO2 emissions are also known to contribute significantly to globalwarming. Current traffic control systems are designed to improve traffic flow and reducecongestion. The CARBOTRAF system combines real-time monitoring of traffic and air pollutionwith simulation models for emission and local air quality prediction in order to deliver on-linerecommendations for alternative adaptive traffic management. The aim of introducing aCARBOTRAF system is to reduce BC and CO2 emissions and improve air quality by optimizingthe traffic flows. The system is implemented and evaluated in two pilot cities, Graz andGlasgow.Model simulations link traffic states to emission and air quality levels. A chain of modelscombines micro-scale traffic simulations, traffic volumes, emission models and air qualitysimulations. This process is completed for several ITS scenarios and a range of traffic boundaryconditions. The real-time DSS system uses these off-line model simulations to select optimaltraffic and air quality scenarios. Traffic and BC concentrations are simultaneously monitored. Inthis paper the effects of ITS measures on air quality are analysed with a focus on BC.
AU  - Vranckx,S
AU  - Lefebvre,W
AU  - van,Poppel M
AU  - Beckx,C
AU  - Theunis,J
AU  - Mascia,M
AU  - Hu,J
AU  - North,R
AU  - Kolbl,R
AU  - Assamer,J
AU  - Breuss,S
AU  - Heilmann,B
AU  - Lenz,G
AU  - Ritchter,G
AU  - Mills,J
AU  - Dahlem,D
AU  - Kouwijzer,G
AU  - Marcinek,M
AU  - Litzenberger,M
PY  - 2014///
TI  - Air Quality Impact of a Decision Support System for Reducing Pollutant Emissions: CARBOTRAF
UR  - http://hdl.handle.net/10044/1/25475
ER  -
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