Short-term Traffic States Prediction Using k-Nearest Neighbor Algorithm: Focused on Urban Expressway in Seoul

Hyejung Hu,; Frey Christopher; Chunjoo Yoon; Choongheon Yang; Jinkook Kim

doi:10.7470/jkst.2016.34.2.180

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Short-term Traffic States Prediction Using k-Nearest Neighbor Algorithm: Focused on Urban Expressway in Seoul 한국형 운행 모드 기반 배출량 산정 모형 개발에 관한 연구

April 2016. pp. 180-190

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Abstract

Atmospheric pollutants such as Nitrogen Oxides(NOx), Carbon Monoxide(CO), Carbon Dioxide(CO2), Particulate Matter(PM) and Hydrocarbons(HC) come from vehicle exhaust gases. Emission curves based on average travel speeds have been employed for estimating on-road emissions as well as evaluating environmental impacts of transportation plans and policies in Korea. Recently, there is a growing interest in estimation methods of vehicle emissions considering relationship between vehicle dynamic driving characteristics and emissions, and incorporating such emission estimators into traffic simulation models. MOVES Lite, a simplified version of MOVES, is one of the estimation methods. In this study, the authors performed a study to develop an adaptable version of MOVES Lite for Korea, called MOVES Lite-K. Vehicle types, driving characteristics, emission rates, and emission standards of Korea were reflected in MOVES Lite-K. The characteristics of emission calculation of MOVES Lite-K and NIER emission curves were compared and the adaptability of MOVES Lite-K were examined.

Keywords

air pollutions

CO2

MOVES lite

operating mode based emission estimation model

vehicle trajectory

차량의 배기가스에는 질소산화물(NOx), 일산화탄소(CO), 이산화탄소(CO2), 입자상 물질(PM), 탄화수소(HC)와 같은 대기 오염물질이 포함되어 있다. 이러한 도로이동오염원의 배출량을 산정하기 위하여 한국에서는 평균속도 기반의 배출계수 곡선식을 사용하고 있으며 교통 계획과 교통 정책의 대안 평가에서 환경적 영향을 분석할 때 활용하고 있다. 그러나 최근에는 차량의 동적 운행 특성과 배출량의 관계를 보다 정확하게 반영하여 배출량을 산정할 수 있는 방법론과 이 방법론을 교통 시뮬레이션 모형에 통합하는 것에 대한 관심이 증가하고 있다. MOVES Lite는 MOVES의 간략 버전으로서 교통 시뮬레이션 모형에 통합될 수 있도록 개발된 운행모드 기반 배출량 산정모형이다. 본 연구에서는 한국의 차종, 주행특성, 배출계수, 배출규제등을 반영하여 MOVES Lite를 개량한 MOVES Lite-K를 개발하기 위한 연구를 수행하였고, 국내의 대표적 배출량 산정 방법인 평균속도 기반의 배출계수 곡선식과 MOVES Lite-K의 배출량 산정 특성을 비교하여 두 방법론의 차이와 국내 적용성을 살펴보았다.

키워드

대기오염물질

CO2

MOVES Lite

운행모드 기반 배출량 산정 모형

주행궤적

References

DTAlite, https://sites.google.com/site/dtalite/, 2014.12.15.

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Rouphail N., Frey H. C. (2014), Framework for Context-Sensitive Spatially- and Temporally- Resolved Onroad Mobile Source Emissions Inventories, EPA.

U.S. EPA, MOVES 2010, http://www.epa.gov/otaq/models/moves/index.htm., 2014.12.15.

Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 34
No :2
Pages :180-190
Received Date : 2015-11-23
Revised Date : 2015-12-23
Accepted Date : 2016-02-18
DOI :https://doi.org/10.7470/jkst.2016.34.2.180

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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