Application of a New Hybrid Traffic Emissions Tool with a High Resolution in Time and Space: Impacts of Congestion

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Title Application of a New Hybrid Traffic Emissions Tool with a High Resolution in Time and Space: Impacts of Congestion
Author Smit, Robin; McBroom, James
Publication Title Proceedings of the 24th ARRB Conference : Building on 50 years of road and transport research
Editor ARRB
Year Published 2010
Place of publication Vermont South, VIC
Publisher ARRB Group
Abstract This paper discusses the development and application of a new high resolution traffic emissions and fuel consumption model. The model is needed to adequately address increasingly complex policy and research questions. Over recent years, a large body of test data has become available in Australia, which amounts to hundreds of hours of second-by-second emissions and driving behaviour data for relevant vehicle classes. The data were measured using real-world driving cycles that were developed from Australian on-road driving data. This large amount of data inspired the development of a new hybrid model with a number of innovative aspects. The model uses (new) model variables that reflect vehicle and driving aspects known to influence vehicle emissions (e.g. speed fluctuation, delta power, power oscillation) and employs a statistical approach to find the best empirical relationships. The algorithms are designed to combine an engineering and a statistical approach. This paper will discuss that the information generated by the model can be used in various ways, for instance to develop an emission inventory, to analyse the impacts of particular traffic management measures (e.g. dynamic speed limits, traffic signal coordination, metering signals). In this paper we will demonstrate this by examining the effects of congestion on emissions and fuel consumption.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.conferenceworks.net.au/arrb/arrb/index
Copyright Statement Copyright 2010 ARRB Group and Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
ISBN 1 876592 63 X
Conference name 24th ARRB Conference
Location Melbourne, Australia
Date From 2010-10-12
Date To 2010-10-15
Date Accessioned 2011-07-19
Date Available 2013-07-17T22:24:17Z
Language en_US
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Applied Statistics; Environmental Science and Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1a

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