[논문]실시간 교통정보 정확도 향상을 위한 이질적 교통정보 융합 연구

김종진; 정연식

doi:10.12652/ksce.2022.42.1.0067

실시간 교통정보 정확도 향상을 위한 이질적 교통정보 융합 연구
Fusion Strategy on Heterogeneous Information Sources for Improving the Accuracy of Real-Time Traffic Information 원문보기

KSCE Journal of Civil and Environmental Engineering Research = 대한토목학회논문집, v.42 no.1, 2022년, pp.67 - 74

김종진 (영남대학교 도시공학과) , 정연식 (영남대학교 도시공학과)

초록
AI-Helper

최근 높은 스마트폰 보급율과 ITS (intelligent transportation systems) 인프라 확충 등 정보통신기술(information and communications technology, ICT) 이용 활성화로 실시간 교통정보의 수집원이 증가하였다. 이렇게 다양하게 수집되는 실시간 교통정보의 정확도는 VDS(vehicle detection system), DSRC (dedicated short-range communications), GPS (global positioning system) probe와 같은 다양한 교통정보 수집원별 시공간 혹은 교통상황 등 다양한 환경에 따라 다르게 나타날 수 있다. 본 연구의 목적은 이질적 교통정보가 동시에 수집될 경우, 실시간 교통정보의 정확도를 향상시키기 위한 융합 전략의 제시에 있다. 이를 위해 고속국도(892.2 km, 227개 링크), 일반국도(937.0 km, 2,074개 링크)를 대상으로 주행 조사를 실시하였으며, 해당 링크 및 시간대에 probe 차량 5대의 평균 통행속도는 실시간 교통정보 수집원별(VDS or DSRC, GPS-based A, B) 정확도 평가의 기준 혹은 참값으로 활용되었다. 결과적으로 제시된 융합 전략에 대한 정확도 개선 효과는 일반국도에서 1개 수집원을 제외하고 모두 통계적으로 유의한 것으로 나타났으며, 향후 다양한 기관으로부터 서비스되는 실시간 교통정보가 동시에 연계되는 환경에서 보다 정확한 교통정보 서비스의 가능성을 확인하였다.

Abstract ▼ AI-Helper

In recent, the number of real-time traffic information sources and providers has increased as increasing smartphone users and intelligent transportation system facilities installed at roadways including vehicle detection system (VDS), dedicated short-ranged communications (DSRC), and global positioning system (GPS) probe vehicle. The accuracy of such traffic information would vary with these heterogeneous information sources or spatiotemporal traffic conditions. Therefore, the purpose of this study is to propose an empirical strategy of heterogeneous information fusion to improve the accuracy of real-time traffic information. To carry out this purpose, travel speed data collection based on the floating car technique was conducted on 227 freeway links (or 892.2 km long) and 2,074 national highway links (or 937.0 km long). The average travel speed for 5 probe vehicles on a specific time period and a link was used as a ground truth measure to evaluate the accuracy of real-time heterogeneous traffic information for that time period and that link. From the statistical tests, it was found that the proposed fusion strategy improves the accuracy of real-time traffic information.

주제어

표/그림 (9)

표 Table 1. Examples of Prior Studies on Data Fusion
표 Table 2. Data Collection Site
그림 Fig. 1. Probe Vehicle and Equipment used for Data Collection
그림 Fig. 2. Accuracy Comparison of Collected Travel Speed Data for Freeways as a Function of Regions and Traffic Information Providers
그림 Fig. 3. Accuracy Comparison of Collected Travel Speed Data for National Highways as a Function of Regions and Traffic Information Providers
표 Table 3. Accuracy Comparison of Collected Travel Speed Data as a Function of Regions, Traffic Information Providers and Road Types
그림 Fig. 4. Fusion Strategy for Improving Accuracy of Heterogeneous Travel Speed Information
표 Table 4. Paired t-test for Freeway
표 Table 5. Paired t-test for National Highway

참고문헌 (23)

Bhaskar, A., Chung, E. and Dumont, A. G. (2011). "Fusing loop detector and probe vehicle data to estimate travel time statistics on signalized urban networks." Computer-Aided Civil and Infrastructure Engineering, Vol. 26, No. 6, pp. 433-450.

상세보기
Chen, C., Skabardonis, A. and Varaiya, P. (2004). "Systematic identification of freeway bottlenecks." Transportation Research Record, Vol. 1867, No. 1, pp. 46-52.

상세보기
Choi, K. C. and Chung, Y. S. (2002). "A data fusion algorithm for estimating link travel time." Journal of Intelligent Transportation Systems, Vol. 7, No. 3-4, pp. 235-260.
Douglas Robertson, H., Hummer, J. E., Nelson, D. C. and Institute of Transportation Engineers. (1994). Manual of transportation engineering studies, Prentice Hall, Englewood Cliffs, N.J., United States.
El Faouzi, N. E., Klein, L. A. and De Mouzon, O. (2009). "Improving travel time estimates from inductive loop and toll collection data with dempster-shafer data fusion." Transportation Research Record, Vol. 2129, No. 1, pp. 73-80.

상세보기
Feiqe, B., Margiotta, C., Margiotta, R. and Turner, S. (2004). Traffic data quality measurement, Final report, FHWA-JPO-05-001, United States.
He, S., Zhang, J., Cheng, Y., Wan, X. and Ran, B. (2016). "Freeway multisensor data fusion approach integrating data from cellphone probes and fixed sensors." Journal of Sensors, Vol. 2016, No. 7269382.
ITS National Transport Information Center (2020). Available at: https://www.its.go.kr/map/traffic (Accessed: July 28, 2020).
Kim, S. H., Lim, K. W. and Lee, Y. G. (2005). "Estimation algorithm based on point and interval detection data over the national highway section." Journal of Korean Society of Transportation, Vol. 23, No. 5, pp. 135-146 (in Korean).
Kong, Q. J., Li, Z., Chen, Y. and Liu, Y. (2009). "An approach to urban traffic state estimation by fusing multisource information." IEEE Transactions on Intelligent Transportation Systems, Vol. 10, No. 3, pp. 499-511.

상세보기
Lee, Y. I., Kim, S. H. and Yoon, J. H. (2005). "Multi-step ahead link travel time prediction using data fusion." Journal of Korean Society of Transportation, Vol. 23, No. 4, pp. 71-79 (in Korean).
Liu, K., Cui, M. Y., Cao, P. and Wang, J. B. (2016). "Iterative bayesian estimation of travel times on urban arterials: Fusing loop detector and probe vehicle data." Plos One, Vol. 11, No. 6, pp. e0158123.

상세보기
Lomax, T., Turner, S., Eisele, B., Schrank, D., Geng, L. and Shollar, B. (2012). Refining the real-timed urban mobility report, UTCM 11-06-73, Texas. United States.
Oppenlander, J. C. (1976). "Sample size determination for travel time and delay studies." Traffic Engineering, Vol. 46, No. 9, pp. 25-28.

상세보기
Quiroga, C. A. and Bullock, D. (1998). "Determination of sample sizes for travel time studies." Institute of Transportation Engineers Journal, Vol. 68, pp. 92-98.
Schroeder, B. J., Cunningham, C. M., Findley, D. J., Hummer, J. E. and Foyle, R. S. (2010). Manual of transportation engineering studies, 2nd edition, Institute of Transportation Engineers, Washington, D.C., United States.
Shin, K. W., Shim, S. W., Choi, K. C. and Kim, S. H. (2014). "Expressway travel time prediction using k-nearest neighborhood." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 6, pp. 1873-1879 (in Korean).
Song, T. J. (2019). "Recurrent congestion impact based on spatiotemporally historic congested information - case study: Separating collision-induced congestion." KSCE Journal of Civil Engineering, KSCE, Vol. 23, No. 11, pp. 4875-4885.

상세보기
Soriguera, F. and Robuste, F. (2011). "Highway travel time accurate measurement and short-term prediction using multiple data sources." Transportmetrica, Vol. 7, No. 1, pp. 85-109.

상세보기
Xia, Y., Li, X. and Shan, Z. (2013). "Parallelized fusion on multisensor transportation data: A case study in cyberits." International Journal of Intelligent Systems, Vol. 28, No. 6, pp. 540-564.

상세보기
Zhang, J., He, S., Wang, W. and Zhan, F. (2015). "Accuracy analysis of freeway traffic speed estimation based on the integration of cellular probe system and loop detectors." Journal of Intelligent Transportation Systems, Vol. 19, No. 4, pp. 411-426.

상세보기
Zhang, X. and Chen, M. (2015). "Determining reference speed for urban arterials using gps-based speed data." Proceedings of the Transportation Research Board 94th Annual Meeting, Washington DC, United States.
Zhu, L., Guo, F., Polak, J. W. and Krishnan, R. (2018). "Urban link travel time estimation using traffic states-based data fusion." IET Intelligent Transport Systems, Vol. 12, No. 7, pp. 651-663.

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증