Analysis and modelling of the pollutant emissions from European cars regarding the driving characteristics and test cycles

Meynier, André; Rapone, M.

doi:10.1016/j.atmosenv.2008.03.013

Cited by 66 publications

(32 citation statements)

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“…The determination of the local traffic impact is based on a unique national road and traffic database, covering the majority of Swedish roads, managed by the Swedish Transport Administration (Borlänge, Sweden) [15]. Emission factors for the exhaust part of PM10 are calculated by the Assessment and Reliability of Transport Emission Models and Inventory Systems (ARTEMIS) working group [16]. A semi-empirical model is used for the non-exhaust part of PM10, considering generation, suspension and resuspension of wear particles in the supermicron fraction [17].…”

Section: Methodsmentioning

confidence: 99%

Fine and coarse particulate air pollution in relation to respiratory health in Sweden

et al. 2013

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Health effects have repeatedly been associated with residential levels of air pollution. However, it is difficult to disentangle effects of long-term exposure to locally generated and long-range transported pollutants, as well as to exhaust emissions and wear particles from road traffic. We aimed to investigate effects of exposure to particulate matter fractions on respiratory health in the Swedish adult population, using an integrated assessment of sources at different geographical scales.The study was based on a nationwide environmental health survey performed in 2007, including 25 851 adults aged 18-80 years. Individual exposure to particulate matter at residential addresses was estimated by dispersion modelling of regional, urban and local sources. Associations between different size fractions or source categories and respiratory outcomes were analysed using multiple logistic regression, adjusting for individual and contextual confounding.Exposure to locally generated wear particles showed associations for blocked nose or hay fever, chest tightness or cough, and restricted activity days with odds ratios of 1.5-2 per 10-mg?m -3 increase. Associations were also seen for locally generated combustion particles, which disappeared following adjustment for exposure to wear particles.In conclusion, our data indicate that long-term exposure to locally generated road wear particles increases the risk of respiratory symptoms in adults. @ERSpublications Long-term exposure to locally generated road wear particles increases the risk of respiratory symptoms in adults http://ow.ly/nutsB

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Section: Methodsmentioning

confidence: 99%

Fine and coarse particulate air pollution in relation to respiratory health in Sweden

et al. 2013

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“…Cold-start emissions also occur during the warm-up phase and depend on the engine's temperature when the vehicle is started. Warm emissions di er with respect to: driving speed, acceleration/deceleration, stop duration, road gradient, and vehicle characteristics consisting of vehicle type, fuel type, cubic capacity, and European Emission Standard Class (André and Rapone, 2009). Cold emissions di er with respect to: driving speed, distance traveled, parking time, ambient temperature, and vehicle characteristics (Weilenmann et al, 2009).…”

Section: Emission Calculationmentioning

confidence: 99%

The Multi-Agent Transport Simulation MATSim

Axhausen¹

2016

481

123

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PrefaceDeveloping complex so ware for over a decade with a heterogeneous group of engineers and scientists, each with widely di erent skill levels and expertise across multiple locations around the world, requires dedication and mechanisms unusual for a university environment. This book is one of these mechanisms. It allows us, collectively, to take stock and present a coherent state-of-the-system: for us and anyone interested in this approach. It highlights basics for the student who wants to undertake a small rst research project as part of his or her degree, provides a description of the main functionalities, in detail, for the engineer setting up MATSim (MultiAgent Transport Simulation) to conduct a policy analysis and, nally, ts the approach into the theoretical background of complex systems in computer science and physics.The choice of the additional e-book format is an advantage, as it allows us to keep the book upto-date with future chapters, revisions and, if necessary, errata. Equally importantly it allows you, the readers, to select those sections relevant to your needs.The book comes at an important time for the system; for most of the rst decade, its use was limited to the original developers and users in Berlin and Zürich. It is now much more widely consulted around the world, as we document in the chapter summarizing contributions on scenarios so far.Scenario: This term will occur again and again. In MATSim context, it is de ned as the combination of speci c agent populations, their initial plans and activity locations (home, work, education), the network and facilities where, and on which, they compete in time-space for their slots and modules, i.e., behavioral dimensions, which they can adjust during their search for equilibrium. Within these scenarios, the user can experiment and explore with behavioral utility function parameters, with the sampling rate of the population between 1 % and 100 %, with algorithm parameters, e.g., the share of the sample engaged in replanning in any iteration, or behavioral dimensions or exact settings necessary to avoid gridlock due to the tra c ow dynamics. The creation of a scenario is a substantial e ort, and the framework makes a number of tools available to accelerate it: population synthesizers, network editors, network converters between popular formats and the MATSim representation, e.g., OSM (OpenStreetMap) or GTFS (General Transit Feed Speci cation), semi-automatic network matching to join information, among others.A large group of colleagues has been involved and many of them are contributors to this book; this is a list of those involved, other than ourselves, in Berlin, Singapore and Zürich. Additional contributors are mentioned as authors of their respective chapters in this book. We hope to acknowledge the contributions of more colleagues from other groups in future versions of this book and in the so ware.Special thanks go to a number of people who greatly helped improving this book beyond their own chapters. Benjamin Kickhöfer's deep knowledge of ...

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“…So these models are intended to predict emission inventories for large regional areas, and not suitable for evaluating vehicle driving situations that are more dynamic in nature. On the other hand, instantaneous emission models focus on the vehicle transient emission characteristics while driving on real road, such as CMEM [10], ARTEMIS [11], VERSIT [12], VT-Micro model [13], MOVES [14] and et al…”

Section: Introductionmentioning

confidence: 99%

Application of Instantaneous Emission Modeling for Rural Vehicle Emission Estimation

Hao¹,

Liu²,

Wang³

et al. 2017

dtcse

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Abstract. Rural vehicles (RVs) contribute a large proportion to total air pollutant emissions in China. In order to develop and evaluate the RV emission control legislation and policy, accurate emission factors and emission inventories for RVs need to be investigated. In this paper, based on the tri-wheel rural vehicle (3-W RV) emission data measured using portable emission measurement system (PEMS) on real roads, an instantaneous emission model was developed and used to estimate the hot stabilized 3-W RV emissions and fuel consumption under real driving conditions. The modeling approach of the instantaneous emission model was presented, and the instantaneous emission model was validated using the experimental results. The predicted emissions and fuel consumption of Foton Lovol 3-W RV met well with the measured results over the selected driving trip, and the prediction errors were in the range of 3-9%.

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Analysis and modelling of the pollutant emissions from European cars regarding the driving characteristics and test cycles

Cited by 66 publications

References 4 publications

Fine and coarse particulate air pollution in relation to respiratory health in Sweden

Fine and coarse particulate air pollution in relation to respiratory health in Sweden

The Multi-Agent Transport Simulation MATSim

Application of Instantaneous Emission Modeling for Rural Vehicle Emission Estimation

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