PURPOSES : This study verifies the appropriateness of the observed traffic volume using car navigation traffic volume data.
METHODS : In this study, we developed an annual average daily traffic (AADT) estimation model that can verify the total amount of traffic by using navigation traffic volume data. In addition, a method to verify the appropriateness of the observed traffic volume was developed using time-based navigation traffic volume data that can check the characteristics of traffic volume at each point. RESULTS : As a result of the analysis of this study, it was found that 674 of the 697 short-duration survey spots of the freeways were appropriate and that 23 spots needed to be revised. CONCLUSIONS : As a result of the analysis of this study, it was found that there was a strong positive correlation between the observed traffic volume and the car navigation traffic volume. Thus, the appropriateness of the observed traffic was determined by verifying the total amount of observed traffic and the observed traffic volume by time.

ABSTRACT
1. 서론
2. 관측 교통량 조사 현황 검토
    2.1. 상시조사 현황 검토
    2.2. 수시조사 현황 검토
    2.3. 시사점
3. 기존 연구 고찰
    3.1. 내비게이션 통행량과 관측 교통량 간의 상관관계분석 관련 연구
    3.2. 관측 교통량 적정성 검증 관련 연구
    3.3. 시사점
4. 상시조사 교통량과 내비게이션 통행량의 상관성검증
    4.1. 분석개요
    4.2. 상시조사 교통량과 내비게이션 통행량 상관분석
5. 내비게이션 통행량 자료를 활용한 관측 교통량적정성 검증 알고리즘 개발
    5.1. 개요
    5.2. AADT 추정 모형 구축
    5.3. 수시조사 교통량의 AADT 환산 방법
    5.4. 시간대별 상관성 분석 방법
6. 관측 교통량 적정성 분석 결과
    6.1. 적정성 검증 대상 지점 선정
    6.2. 수시조사 교통량 AADT 적정성 분석 결과
    6.3. 수시조사 교통량 시간대별 적정성 분석 결과
    6.4. 최종 관측교통량 적정성 분석 결과 종합
7. 결론
REFERENCES

• 김성민(서울시립대학교 교통공학과/한국교통연구원 교통빅데이터연구본부) | Kim Seong Min
• 천승훈(한국교통연구원 교통빅데이터연구본부) | Cheon Seung Hoon 교신저자