Characteristics of real-world gaseous exhaust emissions from cars in heterogeneous traffic conditions

Kuppili, Sudheer Kumar; Alshetty, V. Dheeraj; Diya, M.; Nagendra, S.M. Shiva; Ramadurai, Gitakrishnan; Ramesh, A.; Gulia, Sunil; Namdeo, Anil; Maji, Kamal Jyoti; Bell, Margaret; Goodman, Paul S.; Hayes, Enda T; Barnes, Jo; Longhurst, James; Vito, Laura De

doi:10.1016/j.trd.2021.102855

Cited by 17 publications

(5 citation statements)

References 59 publications

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“…In their conclusions, Tsanakas et al [15] provided guidelines to improve the virtual vehicle trajectories technique, and stated a possible range of applications not necessarily related to emission-modelling. Recent experimental studies, performed at both test benches and actual traffic conditions, that relate emission characteristics to acceleration have been published by Kim et al [17], Chadrashekar et al [18], and Kuppili et al [19]. In this context, a very comprehensive semi-empirical methodology to link instantaneous acceleration and CO 2 emissions has been published by Suarez et al [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Conceptual Study on Car Acceleration Strategies to Minimize Travel Time, Fuel Consumption, and CO2-CO Emissions

Acosta,

Sastre,

Arias

et al. 2024

Vehicles

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A conceptual study was performed on intelligent driving acceleration strategies for vehicles equipped with internal combustion engines. Two archetypal acceleration scenarios of highway driving and urban driving were prescribed. Three trajectories were considered for each scenario. They involved (a) nearly constant acceleration, (b) fast acceleration first and slow acceleration later, and (c) slow acceleration first and fast acceleration later. The selected vehicle was a generic European small–medium passenger car. Engine inlet pressure and ignition time were optimized along each trajectory to minimize fuel consumption, CO, and CO2 emissions, and travel time. The optimization process involved a methodological approach based on the higher-order singular value decomposition of the tensor form of the engine model. The optimized trajectories were analyzed and compared among themselves. Conceptual acceleration design guidelines for intelligent driving were provided that could be of interest when integrating vehicle/engine performance into the surrounding traffic flow.

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Section: Literature Reviewmentioning

confidence: 99%

Conceptual Study on Car Acceleration Strategies to Minimize Travel Time, Fuel Consumption, and CO2-CO Emissions

Acosta,

Sastre,

Arias

et al. 2024

Vehicles

View full text Add to dashboard Cite

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“…However, decelerations and accelerations under congestion or signal delay increase both exhaust and non-exhaust emissions. Quick and sharp acceleration and deceleration consumed more fuel, leading to higher exhaust emissions ( 45 , 46 ). For instance, emission rates were stable within a low acceleration range of −0.5 to 0.5 m/s 2 and increased beyond this range ( 45 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Quick and sharp acceleration and deceleration consumed more fuel, leading to higher exhaust emissions ( 45 , 46 ). For instance, emission rates were stable within a low acceleration range of −0.5 to 0.5 m/s 2 and increased beyond this range ( 45 ). Also, fuel consumption at acceleration rates between 1.3 and 1.5 m/s 2 was approximately three times higher than at acceleration rates between 0.3 and 0.5 m/s 2 ( 46 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Structural Causality Between Road Traffic and Particulate Matter Concentrations in Urban Areas

Chang

Park

2023

Transportation Research Record: Journal of the Transportation R

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Road traffic makes a major contribution to air pollution by emitting solid and liquid particles, also known as particulate matter, into the air. However, the causal relationship between road traffic and particulate matter emissions has not been adequately explored, primarily because traffic is the result of dynamic interactions involving many real-time variables, such as volume and speed. This study used structural equation modeling to quantify this complex causal relationship. A one-year survey using a mobile laboratory was conducted to collect data on particulate matter concentrations and traffic, which were then combined with weather statistics provided by the Korea Meteorological Administration. The key finding of this study suggests that greater attention in research and policy should be directed toward non-exhaust particulate matter emissions from road traffic.

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“…Moreover, particles have a larger attenuation rate than gaseous pollutants, only above a particle number (PN) of ~0.6 m, and the diameters are very close to the background values. Solid particles can diffuse further in the vehicle's transverse direction; when a car passes through a pedestrian area with a 3 m distance, pedestrians are exposed to 2.6-3-times-higher levels, according to the results of indoor experiments [14].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Suspended Road Dust According to Vehicle Driving Patterns in an Urban Area and PM10 Content in Silt

Yoo,

Cho,

Hong

et al. 2023

Atmosphere

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Characterizing the influence factors of exhaust gas based on the suspended road dust on paved roads, according to the number of vehicles and their distance with regard to driving pattern, is important in order to provide a coefficient for driving patterns to find a model equation. This has been a limitation of previous studies, in which this was difficult to carry out in a large area reflecting various driving patterns because some sections were selected according to empirical measurement results, and only one vehicle measurement was used to find the level of road dust. This study measured the concentration of suspended road dust that could occur, depending on the vehicle’s driving patterns, on an experimental road in Yongin, South Korea, from May to July 2023. The study was conducted to determine the degree of the effect of exhaust gas, according to the concentration of suspended road dust generated, by determining the separation distance based on real-time measurements. This study attempted to determine the changes in suspended road dust based on driving patterns in urban areas and factor in the concentration of suspended road dust with regard to emission characteristics in terms of exhaust gas and particulate matter with a diameter of 10 microns or less (PM10). This was in accordance with conditions evaluated using mobile laboratories, based on suspended-PM10-concentration-measuring equipment. This study mainly focused on the following main topics: (1) increasing the level of suspended particulate matter at less than 10 m intervals produced by exhaust gas; (2) decreasing the level of suspended road dust with an increase in the number of vehicles, with the area measured at a distance of three cars in front showing the lowest level of suspended road dust in the air and a low level for the rear vehicle; (3) demonstrating that PM10 is effective in measuring the generation of suspended road dust; and (4) evaluating suspended road dust levels by road section. Based on the results, this research is necessary to more appropriately set the focus of analyses that aim to characterize suspended road dust according to exhaust gas and PM10 content in silt.

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Characteristics of real-world gaseous exhaust emissions from cars in heterogeneous traffic conditions

Cited by 17 publications

References 59 publications

Conceptual Study on Car Acceleration Strategies to Minimize Travel Time, Fuel Consumption, and CO2-CO Emissions

Conceptual Study on Car Acceleration Strategies to Minimize Travel Time, Fuel Consumption, and CO2-CO Emissions

Structural Causality Between Road Traffic and Particulate Matter Concentrations in Urban Areas

Characteristics of Suspended Road Dust According to Vehicle Driving Patterns in an Urban Area and PM10 Content in Silt

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