PURPOSES : A methodology for estimating micro-emission factors using vehicle trajectory data collected from navigation and DTG devices and basic emission factors for each vehicle type of the MOtor Vehicle Emission Simulator (MOVES) is presented. The methodology can calculate micro-emissions based on only the traffic volume and average speed for each vehicle type. METHODS : Cluster analysis was performed by accumulating the trajectories of individual vehicles on a specific road section into speed groups in which vehicles drove with the same range of average speed. Then, the micro-emission factors were estimated for each speed group. RESULTS : Using the vehicle trajectory data revealed that the emissions calculated from micro-emission factors estimated by the proposed methodology were similar to the sum of the emissions calculated from the vehicle trajectories for each vehicle.
CONCLUSIONS : The micro-emission factor database for each road type and vehicle type proposed in this study should be useful for estimating vehicle emissions on the road. The proposed method can calculate emissions in the same way as the macroscopic analysis method, using the traffic volume, average speed, and link length.

ABSTRACT
1. 서론
2. 선행연구 검토
    2.1. 미시배출량 산정방법론 MOVES 개요
    2.2. 미시배출량 산정 관련 연구
    2.3. 미시배출계수 추정 관련 연구
3. 연구방법론
    3.1. 차량 주행궤적자료 수집
    3.2. MOVES를 적용한 OpMode 분포 생성
    3.3. 군집분석을 통한 대표 OpMode 분포 산출
    3.4. 미시 배출량 산정 및 미시배출계수 추정
4. Pilot study
    4.1. 데이터 수집
    4.2. 개별 차량 주행궤적 기반 OpMode 분포 산출 및개별 차량의 배출량 산정
    4.3. 군집수 결정과 군집분석 결과
    4.4. 미시배출계수 추출을 위한 대표 OpMode DB구축 결과
    4.5. 평균 속도별 미시배출계수 추정 결과
    4.6. 미시 배출량 산정 결과 비교
5. 결론
REFERENCES

• 허혜정(건국대학교 기술융합공학과 선임연구원) | Hu Hyejung
• 신현주(한양대학교 스마트시티공학과 박사과정) | Shin Hyunju
• 김재헌(한양대학교 교통물류공학과 선임연구원) | Kim Jae Hun
• 이건우(한양대학교 교통물류공학과 부교수) | Lee Gunwoo Corresponding Author