Analysis of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mstyle mathvariant="normal"><mml:mi>CO</mml:mi></mml:mstyle></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> emission in traffic flow and numerical tests

Wang, Zihao

doi:10.1016/j.physa.2013.06.024

Cited by 46 publications

(4 citation statements)

References 33 publications

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“…Zhu [14] used critical density and delay time as indicators to split traffic flow into stable flow patterns and unstable flow patterns. The rule of carbon emissions from gasoline vehicles with a consideration of slope was defined, based on Bando's optimal velocity model and Li's carbon emissions model of urban road intersections [4].…”

Section: Introductionmentioning

confidence: 99%

“…The main factors affecting carbon emissions are travel time, distance, and speed fluctuations. The extant models [14,15] are not readily applicable as they require a large amount of instantaneous data be gathered as the vehicle moves. There is no model verification based on field test data, either, so it is not possible to fully confirm the model's accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…There is no model verification based on field test data, either, so it is not possible to fully confirm the model's accuracy. The default parameters in these models [14,15] are based on Oguchi's model, which is specific to Tokyo. Different fuel qualities, road types, altitudes, weather conditions, and vehicle types can affect fuel consumption and carbon emissions-in other words, the extant models [14,15] are not directly applicable to the Chinese context.…”

Section: Introductionmentioning

confidence: 99%

“…Previous researchers have revealed the effects of traffic flow patterns on the carbon emissions, mostly based on models built from the microscopic perspective encompassing vehicle operating conditions [4,[13][14][15]. Traffic flow patterns are generally divided by certain indicators related to traffic flow (speed, time, density) to analyze the relationship between traffic flow and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

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Carbon Emissions and Expressway Traffic Flow Patterns in China

Dong

Liu

et al. 2019

Sustainability

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Traffic flow patterns severely impact vehicle carbon emissions. A field test was conducted in this study to obtain fuel consumption and traffic volume data under various traffic flow patterns and to explore the relationship between traffic flow patterns and vehicle carbon emissions. Carbon emission data were obtained via the indirect carbon emission accounting method proposed by the Intergovernmental Panel on Climate Change. Carbon emission prediction models for diesel trucks and gasoline passenger cars were established respectively with volume to capacity ratio as an explanatory variable. The results show that carbon emissions are highest under the congested flow conditions, followed by unstable flow, free flow, and steady flow. The relationship between the volume to capacity ratio and carbon emissions is a cubic curve function. The carbon emissions of trucks and passenger cars with a volume to capacity ratio of 0.4 to 0.5 are relatively small. The proposed carbon emissions models effectively quantify the carbon emissions of vehicles under different traffic flow patterns. The results of this study may provide data to support and a workable reference for expressway operation management and future low-carbon expressway expansion construction projects.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Carbon Emissions and Expressway Traffic Flow Patterns in China

Dong

Liu

et al. 2019

Sustainability

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The study for continuum model considering traffic jerk effect

et al. 2015

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Based on the optimal velocity model, a new continuum model considering traffic jerk effect is presented in this paper. Then, the critical condition for the steady traffic flow is deduced. Near the neutral stability line, nonlinear analysis is taken to derive the KdVBurgers equation for describing the density wave, and one of the solutions is given. Numerical simulation is carried out to study the influence about the traffic jerk effect.

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