Improvement of the Emission model Based on Average Speeds in the Transportation Sector

김영호,; 홍성진,; 이태우,; 박준홍,

doi:10.7470/jkst.2012.30.2.117

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lim et al (2005) analyzed factors affecting vehicle emissions and suggested that different methodologies provide different outputs depending on the level of traffic volume [17]. Kim et al (2012) suggested that different models should be applied according to the type of road facilities. In addition, they suggested that different emission parameters should be applied according to traffic conditions [18].…”

Section: Introductionmentioning

confidence: 99%

“…Kim et al (2012) suggested that different models should be applied according to the type of road facilities. In addition, they suggested that different emission parameters should be applied according to traffic conditions [18]. Heo et al (2020) proposed a link-based method for estimating microscopic emissions and suggested that microscopic emissions and macroscopic emissions show a large difference [6,7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

et al. 2023

View full text Add to dashboard Cite

To monitor air pollution on roads in urban areas, it is necessary to accurately estimate emissions from vehicles. For this purpose, vehicle emission estimation models have been developed. Vehicle emission estimation models are categorized into macroscopic models and microscopic models. While the calculation is simple, macroscopic models utilize the average speed of vehicles without accounting for the acceleration and deceleration of individual vehicles. Therefore, limitations exist in estimating accurate emissions when there are frequent changes in driving behavior. Microscopic emission estimation models overcome these limitations by utilizing the trajectory data of each vehicle. In this method, the total emissions in a road segment are calculated by adding together the emissions from individual vehicles. However, most research studies consider the total vehicle emissions in a road section without considering the difference in vehicle emissions at different locations of a selected road section. In this study, a road segment between two intersections was divided into sub-sections, and energy consumption and emission generation were analyzed. Since there are unique driving behaviors depending on the section of the road segment, energy consumption and emission generation patterns were identified. The findings of this study are expected to provide more detailed and quantitative data for better modeling of energy consumption and emissions in urban areas.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

et al. 2023

View full text Add to dashboard Cite

show abstract

Air Pollutant Emission Characteristics of a Light Duty Diesel Vehicle Affected by Road Infrastructure Improvement and Traffic flow Changes

Keel¹,

Lee²,

Lee³

et al. 2016

Journal of ILASS-Korea

View full text Add to dashboard Cite

Changes in road infrastructure affect driving patterns and pollutant emission characteristics. we analyzed the changes in driving patterns and pollutant emission characteristics of the driving route via measured driving patterns at year 2009 and 2016. Since 2009, there has been an increase in population and traffic demand, including residential areas and industrial facilities. Traffic conditions were improved such as the opening of the highway Inter-Change to Seoul and the construction of underground driveway. As a result, the average vehicle speed increased. More detail comparisons have made on the changes of the underground driveway section and the crossroad section, which are expected to have significant changes in the transportation infrastructure. The vehicle speed distribution of the underground driveway changed from low speed to high speed, and the increase of the time spent at the high speed and high load caused the increase of NOx emissions. The vehicle speed also increased at the crossroad section, and the consequence NOx and CO2 emissions decreased. It is mainly because the decreased time spent at idle, which results from the proper traffic demand management at this area.

show abstract

Instantaneous GHG Emission Estimation Method Considering Vehicle Characteristics in Korea

허혜정¹,

윤천주²,

이태우³

et al. 2013

Journal of Korean Society of Transportation

View full text Add to dashboard Cite

There are lots of variations on speed, acceleration and engine power during vehicle driving. It is well known that Green House Gas emissions by these dynamic driving properties are not precisely estimated by the average speed based emission estimation model which has been currently used in Korea. MOVES are selected as an appropriate transferable model among Micro-level emission estimation models. Based on MOVES, a novel emission estimation model can be used in Korea is developed. In this model, MOVES concept of emission estimation method and the MOVES method of estimating the Micro-level emission rate map is adopted. The results from the proposed model were compared with those from the average speed based emission model. The comparison results show the estimated base emission maps are good to be applied in Korea, but needed to be adjusted to consider the vehicle size differences between the two countries. Therefore, the factors for calibrating vehicle size difference were calculated and applied to acquired the micro-level emission maps for the Korean standard vehicle types.

show abstract

Improvement of the Emission model Based on Average Speeds in the Transportation Sector

Cited by 4 publications

References 4 publications

Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

Road-Section-Based Analysis of Vehicle Emissions and Energy Consumption

Air Pollutant Emission Characteristics of a Light Duty Diesel Vehicle Affected by Road Infrastructure Improvement and Traffic flow Changes

Instantaneous GHG Emission Estimation Method Considering Vehicle Characteristics in Korea

Contact Info

Product

Resources

About